2025-08-14T21:16:56.3754560Z Current runner version: '2.328.0'
2025-08-14T21:16:56.3759606Z Runner name: 'i-09e31cdd6d16df249'
2025-08-14T21:16:56.3760229Z Runner group name: 'default'
2025-08-14T21:16:56.3760976Z Machine name: 'ip-10-0-75-132'
2025-08-14T21:16:56.3763374Z ##[group]GITHUB_TOKEN Permissions
2025-08-14T21:16:56.3765610Z Contents: read
2025-08-14T21:16:56.3766563Z Metadata: read
2025-08-14T21:16:56.3767004Z ##[endgroup]
2025-08-14T21:16:56.3768918Z Secret source: Actions
2025-08-14T21:16:56.3769738Z Prepare workflow directory
2025-08-14T21:16:56.4166957Z Prepare all required actions
2025-08-14T21:16:56.4200817Z Getting action download info
2025-08-14T21:16:56.6861004Z Download action repository 'pytorch/test-infra@main' (SHA:83f58f391e939c10dcb8cb6d745e4cefa3b98a84)
2025-08-14T21:16:58.3904249Z Download action repository 'pytorch/pytorch@main' (SHA:3be70dc30e893b552fc0f23ca06cd8f7949b6d08)
2025-08-14T21:17:14.3835552Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-08-14T21:17:14.7655727Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-08-14T21:17:15.0160000Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-08-14T21:17:15.2405462Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-14T21:17:15.5272347Z Getting action download info
2025-08-14T21:17:15.6851701Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-08-14T21:17:15.9414801Z Getting action download info
2025-08-14T21:17:16.0576877Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-08-14T21:17:16.2659042Z Getting action download info
2025-08-14T21:17:16.3894664Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-08-14T21:17:16.5909721Z Getting action download info
2025-08-14T21:17:16.7200398Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2)
2025-08-14T21:17:16.7203681Z ##[group] Inputs
2025-08-14T21:17:16.7203964Z   build-environment: linux-jammy-py3.9-gcc11-build
2025-08-14T21:17:16.7205651Z   test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}
2025-08-14T21:17:16.7207530Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:17:16.7208051Z   sync-tag: 
2025-08-14T21:17:16.7208663Z   timeout-minutes: 240
2025-08-14T21:17:16.7208829Z   use-gha: 
2025-08-14T21:17:16.7208984Z   dashboard-tag: 
2025-08-14T21:17:16.7209170Z   s3-bucket: gha-artifacts
2025-08-14T21:17:16.7209356Z   aws-role-to-assume: 
2025-08-14T21:17:16.7209911Z   disable-monitor: false
2025-08-14T21:17:16.7210147Z   monitor-log-interval: 5
2025-08-14T21:17:16.7210642Z   monitor-data-collect-interval: 1
2025-08-14T21:17:16.7210960Z ##[endgroup]
2025-08-14T21:17:16.7211310Z Complete job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-14T21:17:16.7689337Z A job started hook has been configured by the self-hosted runner administrator
2025-08-14T21:17:16.7766707Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-08-14T21:17:16.7774052Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:17:16.7774484Z ##[endgroup]
2025-08-14T21:17:17.7523581Z Runner Type: linux.8xlarge.amx
2025-08-14T21:17:17.7524143Z Instance Type: m7i-flex.8xlarge
2025-08-14T21:17:17.7524476Z AMI Name: unknown
2025-08-14T21:17:17.7558971Z AMI ID: ami-05ffe3c48a9991133
2025-08-14T21:17:21.9116971Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-08-14T21:17:21.9117400Z with:
2025-08-14T21:17:21.9117996Z   github-secret: ***
2025-08-14T21:17:21.9118479Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-08-14T21:17:21.9119046Z   activate-with-label: false
2025-08-14T21:17:21.9119273Z   label: with-ssh
2025-08-14T21:17:21.9119494Z   remove-existing-keys: true
2025-08-14T21:17:21.9119760Z   fail-silently: true
2025-08-14T21:17:21.9119975Z env:
2025-08-14T21:17:21.9120170Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:17:21.9120449Z ##[endgroup]
2025-08-14T21:17:22.0445764Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-08-14T21:17:22.0447421Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-08-14T21:17:22.0638166Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-08-14T21:17:22.0638518Z with:
2025-08-14T21:17:22.0638726Z   no-sudo: true
2025-08-14T21:17:22.0638965Z   submodules: recursive
2025-08-14T21:17:22.0639213Z   fetch-depth: 0
2025-08-14T21:17:22.0639404Z env:
2025-08-14T21:17:22.0732853Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:17:22.0733105Z ##[endgroup]
2025-08-14T21:17:22.0807559Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:17:22.0808137Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:17:22.0816212Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:17:22.0816456Z env:
2025-08-14T21:17:22.0816620Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:17:22.0816797Z ##[endgroup]
2025-08-14T21:17:22.0901412Z ##[group]Run # Use all available CPUs for fetching
2025-08-14T21:17:22.0901729Z # Use all available CPUs for fetching
2025-08-14T21:17:22.0901974Z cd "${GITHUB_WORKSPACE}"
2025-08-14T21:17:22.0902242Z git config --global fetch.parallel 0
2025-08-14T21:17:22.0902496Z git config --global submodule.fetchJobs 0
2025-08-14T21:17:22.0902716Z 
2025-08-14T21:17:22.0903037Z # Clean workspace. The default checkout action should also do this, but
2025-08-14T21:17:22.0903354Z # do it here as well just in case
2025-08-14T21:17:22.0903572Z if [[ -d .git ]]; then
2025-08-14T21:17:22.0903775Z   if [ -z "${NO_SUDO}" ]; then
2025-08-14T21:17:22.0903974Z     sudo git clean -ffdx
2025-08-14T21:17:22.0904165Z   else
2025-08-14T21:17:22.0904331Z     git clean -ffdx
2025-08-14T21:17:22.0904500Z   fi
2025-08-14T21:17:22.0904650Z fi
2025-08-14T21:17:22.0908694Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:17:22.0908932Z env:
2025-08-14T21:17:22.0909089Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:17:22.0909268Z   NO_SUDO: true
2025-08-14T21:17:22.0909418Z ##[endgroup]
2025-08-14T21:17:22.1017258Z ##[group]Run actions/checkout@v4
2025-08-14T21:17:22.1017488Z with:
2025-08-14T21:17:22.1017675Z   ref: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:17:22.1018108Z   fetch-depth: 0
2025-08-14T21:17:22.1018281Z   submodules: recursive
2025-08-14T21:17:22.1018474Z   show-progress: false
2025-08-14T21:17:22.1018671Z   repository: pytorch/pytorch
2025-08-14T21:17:22.1018992Z   token: ***
2025-08-14T21:17:22.1019150Z   ssh-strict: true
2025-08-14T21:17:22.1019318Z   ssh-user: git
2025-08-14T21:17:22.1019493Z   persist-credentials: true
2025-08-14T21:17:22.1019679Z   clean: true
2025-08-14T21:17:22.1019859Z   sparse-checkout-cone-mode: true
2025-08-14T21:17:22.1020076Z   fetch-tags: false
2025-08-14T21:17:22.1020217Z   lfs: false
2025-08-14T21:17:22.1020371Z   set-safe-directory: true
2025-08-14T21:17:22.1020550Z env:
2025-08-14T21:17:22.1020687Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:17:22.1020856Z ##[endgroup]
2025-08-14T21:17:22.1974862Z Syncing repository: pytorch/pytorch
2025-08-14T21:17:22.1975917Z ##[group]Getting Git version info
2025-08-14T21:17:22.1976253Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-14T21:17:22.1976734Z [command]/usr/bin/git version
2025-08-14T21:17:22.2247850Z git version 2.47.1
2025-08-14T21:17:22.2265564Z ##[endgroup]
2025-08-14T21:17:22.2279252Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/dc87f431-a51d-4165-9fa8-5889feac1314/.gitconfig'
2025-08-14T21:17:22.2313895Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/dc87f431-a51d-4165-9fa8-5889feac1314' before making global git config changes
2025-08-14T21:17:22.2314570Z Adding repository directory to the temporary git global config as a safe directory
2025-08-14T21:17:22.2325168Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T21:17:22.2378093Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-14T21:17:22.2396981Z ##[group]Initializing the repository
2025-08-14T21:17:22.2406483Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T21:17:22.2468039Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-08-14T21:17:22.2468687Z hint: is subject to change. To configure the initial branch name to use in all
2025-08-14T21:17:22.2469183Z hint: of your new repositories, which will suppress this warning, call:
2025-08-14T21:17:22.2474144Z hint:
2025-08-14T21:17:22.2476959Z hint: 	git config --global init.defaultBranch <name>
2025-08-14T21:17:22.2477402Z hint:
2025-08-14T21:17:22.2482366Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-08-14T21:17:22.2485192Z hint: 'development'. The just-created branch can be renamed via this command:
2025-08-14T21:17:22.2486949Z hint:
2025-08-14T21:17:22.2487149Z hint: 	git branch -m <name>
2025-08-14T21:17:22.2501308Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-08-14T21:17:22.2516152Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-08-14T21:17:22.2554683Z ##[endgroup]
2025-08-14T21:17:22.2560036Z ##[group]Disabling automatic garbage collection
2025-08-14T21:17:22.2562348Z [command]/usr/bin/git config --local gc.auto 0
2025-08-14T21:17:22.2583363Z ##[endgroup]
2025-08-14T21:17:22.2583664Z ##[group]Setting up auth
2025-08-14T21:17:22.2589506Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-14T21:17:22.2618201Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2025-08-14T21:17:22.2944732Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-08-14T21:17:22.2965768Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2025-08-14T21:17:22.3335950Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-14T21:17:22.3406571Z ##[endgroup]
2025-08-14T21:17:22.3406915Z ##[group]Fetching the repository
2025-08-14T21:17:22.3419183Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-08-14T21:18:07.6928854Z From https://github.com/pytorch/pytorch
2025-08-14T21:18:07.6929275Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-08-14T21:18:07.6929773Z  * [new branch]              5addvllmbuild               -> origin/5addvllmbuild
2025-08-14T21:18:07.6930386Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-08-14T21:18:07.6930806Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-08-14T21:18:07.6931243Z  * [new branch]              JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops
2025-08-14T21:18:07.6931663Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-08-14T21:18:07.6932036Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-08-14T21:18:07.6932389Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-08-14T21:18:07.6932715Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-08-14T21:18:07.6933038Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-08-14T21:18:07.6933700Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-08-14T21:18:07.6934088Z  * [new branch]              add-missing-args-normalization -> origin/add-missing-args-normalization
2025-08-14T21:18:07.6934733Z  * [new branch]              add-user-guide-structure    -> origin/add-user-guide-structure
2025-08-14T21:18:07.6938472Z  * [new branch]              addVllmPin                  -> origin/addVllmPin
2025-08-14T21:18:07.6943369Z  * [new branch]              add_windows_testing_back    -> origin/add_windows_testing_back
2025-08-14T21:18:07.6945751Z  * [new branch]              addbuildvllm                -> origin/addbuildvllm
2025-08-14T21:18:07.6946182Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-08-14T21:18:07.6950111Z  * [new branch]              addsimde                    -> origin/addsimde
2025-08-14T21:18:07.6950468Z  * [new branch]              addvllpinnedfile            -> origin/addvllpinnedfile
2025-08-14T21:18:07.6950825Z  * [new branch]              adi/acl_upgrade             -> origin/adi/acl_upgrade
2025-08-14T21:18:07.6951136Z  * [new branch]              adi/skip_slow_tests         -> origin/adi/skip_slow_tests
2025-08-14T21:18:07.6951437Z  * [new branch]              adi/test                    -> origin/adi/test
2025-08-14T21:18:07.6951723Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-08-14T21:18:07.6952020Z  * [new branch]              adi/test_fusions            -> origin/adi/test_fusions
2025-08-14T21:18:07.6952334Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-08-14T21:18:07.6952656Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-08-14T21:18:07.6952965Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-08-14T21:18:07.6953266Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-08-14T21:18:07.6953690Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-08-14T21:18:07.6954033Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-08-14T21:18:07.6954377Z  * [new branch]              albanD-patch-1              -> origin/albanD-patch-1
2025-08-14T21:18:07.6954667Z  * [new branch]              alt-disable                 -> origin/alt-disable
2025-08-14T21:18:07.6955293Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-08-14T21:18:07.6955660Z  * [new branch]              angelayi/aoti_inductor_fx   -> origin/angelayi/aoti_inductor_fx
2025-08-14T21:18:07.6956053Z  * [new branch]              angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device
2025-08-14T21:18:07.6956434Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-08-14T21:18:07.6956757Z  * [new branch]              angelayi/benchmark2         -> origin/angelayi/benchmark2
2025-08-14T21:18:07.6957139Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-08-14T21:18:07.6957512Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-08-14T21:18:07.6957866Z  * [new branch]              angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph
2025-08-14T21:18:07.6958206Z  * [new branch]              angelayi/customop           -> origin/angelayi/customop
2025-08-14T21:18:07.6958520Z  * [new branch]              angelayi/del_lib            -> origin/angelayi/del_lib
2025-08-14T21:18:07.6958824Z  * [new branch]              angelayi/docs               -> origin/angelayi/docs
2025-08-14T21:18:07.6959112Z  * [new branch]              angelayi/docs2              -> origin/angelayi/docs2
2025-08-14T21:18:07.6959410Z  * [new branch]              angelayi/fix_pt2            -> origin/angelayi/fix_pt2
2025-08-14T21:18:07.6959769Z  * [new branch]              angelayi/logging.bak        -> origin/angelayi/logging.bak
2025-08-14T21:18:07.6960086Z  * [new branch]              angelayi/logging2           -> origin/angelayi/logging2
2025-08-14T21:18:07.6960403Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-08-14T21:18:07.6960726Z  * [new branch]              angelayi/pytree             -> origin/angelayi/pytree
2025-08-14T21:18:07.6961030Z  * [new branch]              angelayi/save_error         -> origin/angelayi/save_error
2025-08-14T21:18:07.6961339Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-08-14T21:18:07.6961653Z  * [new branch]              angelayi/symint_input       -> origin/angelayi/symint_input
2025-08-14T21:18:07.6962197Z  * [new branch]              angelayi/tensor_nn_module_meta -> origin/angelayi/tensor_nn_module_meta
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2025-08-14T21:18:08.0270543Z  * [new branch]              mlazos/meta-guards          -> origin/mlazos/meta-guards
2025-08-14T21:18:08.0270802Z  * [new branch]              mlazos/mlazos/ck2           -> origin/mlazos/mlazos/ck2
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2025-08-14T21:18:08.0563216Z  * [new tag]                 ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635
2025-08-14T21:18:08.0563979Z  * [new tag]                 ciflow/h100-symm-mem/159118 -> ciflow/h100-symm-mem/159118
2025-08-14T21:18:08.0564226Z  * [new tag]                 ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562
2025-08-14T21:18:08.0568934Z  * [new tag]                 ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889
2025-08-14T21:18:08.0569094Z  * [new tag]                 ciflow/h100/159158          -> ciflow/h100/159158
2025-08-14T21:18:08.0569435Z  * [new tag]                 ciflow/h100/160450          -> ciflow/h100/160450
2025-08-14T21:18:08.0569547Z  * [new tag]                 ciflow/h100/160480          -> ciflow/h100/160480
2025-08-14T21:18:08.0569663Z  * [new tag]                 ciflow/h100/160614          -> ciflow/h100/160614
2025-08-14T21:18:08.0570127Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845
2025-08-14T21:18:08.0570398Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/160538 -> ciflow/inductor-perf-test-nightly-rocm/160538
2025-08-14T21:18:08.0570675Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/156599 -> ciflow/inductor-perf-test-nightly-x86-zen/156599
2025-08-14T21:18:08.0570855Z  * [new tag]                 ciflow/inductor-periodic/160406 -> ciflow/inductor-periodic/160406
2025-08-14T21:18:08.0571022Z  * [new tag]                 ciflow/inductor-periodic/160538 -> ciflow/inductor-periodic/160538
2025-08-14T21:18:08.0571179Z  * [new tag]                 ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845
2025-08-14T21:18:08.0571638Z  * [new tag]                 ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158
2025-08-14T21:18:08.0572040Z  * [new tag]                 ciflow/inductor-rocm/160073 -> ciflow/inductor-rocm/160073
2025-08-14T21:18:08.0572400Z  * [new tag]                 ciflow/inductor-rocm/160538 -> ciflow/inductor-rocm/160538
2025-08-14T21:18:08.0575422Z  * [new tag]                 ciflow/inductor/134881      -> ciflow/inductor/134881
2025-08-14T21:18:08.0575733Z  * [new tag]                 ciflow/inductor/137400      -> ciflow/inductor/137400
2025-08-14T21:18:08.0575946Z  * [new tag]                 ciflow/inductor/144516      -> ciflow/inductor/144516
2025-08-14T21:18:08.0576173Z  * [new tag]                 ciflow/inductor/146506      -> ciflow/inductor/146506
2025-08-14T21:18:08.0576424Z  * [new tag]                 ciflow/inductor/147360      -> ciflow/inductor/147360
2025-08-14T21:18:08.0576657Z  * [new tag]                 ciflow/inductor/147990      -> ciflow/inductor/147990
2025-08-14T21:18:08.0577285Z  * [new tag]                 ciflow/inductor/148180      -> ciflow/inductor/148180
2025-08-14T21:18:08.0577437Z  * [new tag]                 ciflow/inductor/148328      -> ciflow/inductor/148328
2025-08-14T21:18:08.0577761Z  * [new tag]                 ciflow/inductor/148484      -> ciflow/inductor/148484
2025-08-14T21:18:08.0577881Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-08-14T21:18:08.0577997Z  * [new tag]                 ciflow/inductor/150302      -> ciflow/inductor/150302
2025-08-14T21:18:08.0578138Z  * [new tag]                 ciflow/inductor/151845      -> ciflow/inductor/151845
2025-08-14T21:18:08.0578722Z  * [new tag]                 ciflow/inductor/152198      -> ciflow/inductor/152198
2025-08-14T21:18:08.0579174Z  * [new tag]                 ciflow/inductor/152624      -> ciflow/inductor/152624
2025-08-14T21:18:08.0579585Z  * [new tag]                 ciflow/inductor/153966      -> ciflow/inductor/153966
2025-08-14T21:18:08.0580041Z  * [new tag]                 ciflow/inductor/154193      -> ciflow/inductor/154193
2025-08-14T21:18:08.0580870Z  * [new tag]                 ciflow/inductor/154650      -> ciflow/inductor/154650
2025-08-14T21:18:08.0581070Z  * [new tag]                 ciflow/inductor/154694      -> ciflow/inductor/154694
2025-08-14T21:18:08.0583934Z  * [new tag]                 ciflow/inductor/155072      -> ciflow/inductor/155072
2025-08-14T21:18:08.0584239Z  * [new tag]                 ciflow/inductor/155152      -> ciflow/inductor/155152
2025-08-14T21:18:08.0584456Z  * [new tag]                 ciflow/inductor/155153      -> ciflow/inductor/155153
2025-08-14T21:18:08.0584590Z  * [new tag]                 ciflow/inductor/155154      -> ciflow/inductor/155154
2025-08-14T21:18:08.0584815Z  * [new tag]                 ciflow/inductor/155501      -> ciflow/inductor/155501
2025-08-14T21:18:08.0585097Z  * [new tag]                 ciflow/inductor/155502      -> ciflow/inductor/155502
2025-08-14T21:18:08.0585667Z  * [new tag]                 ciflow/inductor/155503      -> ciflow/inductor/155503
2025-08-14T21:18:08.0585821Z  * [new tag]                 ciflow/inductor/155504      -> ciflow/inductor/155504
2025-08-14T21:18:08.0585947Z  * [new tag]                 ciflow/inductor/155557      -> ciflow/inductor/155557
2025-08-14T21:18:08.0586085Z  * [new tag]                 ciflow/inductor/155608      -> ciflow/inductor/155608
2025-08-14T21:18:08.0586658Z  * [new tag]                 ciflow/inductor/155923      -> ciflow/inductor/155923
2025-08-14T21:18:08.0586801Z  * [new tag]                 ciflow/inductor/155928      -> ciflow/inductor/155928
2025-08-14T21:18:08.0589566Z  * [new tag]                 ciflow/inductor/155958      -> ciflow/inductor/155958
2025-08-14T21:18:08.0589869Z  * [new tag]                 ciflow/inductor/156049      -> ciflow/inductor/156049
2025-08-14T21:18:08.0590089Z  * [new tag]                 ciflow/inductor/156851      -> ciflow/inductor/156851
2025-08-14T21:18:08.0590230Z  * [new tag]                 ciflow/inductor/156967      -> ciflow/inductor/156967
2025-08-14T21:18:08.0590485Z  * [new tag]                 ciflow/inductor/157148      -> ciflow/inductor/157148
2025-08-14T21:18:08.0590698Z  * [new tag]                 ciflow/inductor/157149      -> ciflow/inductor/157149
2025-08-14T21:18:08.0590832Z  * [new tag]                 ciflow/inductor/157152      -> ciflow/inductor/157152
2025-08-14T21:18:08.0591045Z  * [new tag]                 ciflow/inductor/157542      -> ciflow/inductor/157542
2025-08-14T21:18:08.0591176Z  * [new tag]                 ciflow/inductor/157572      -> ciflow/inductor/157572
2025-08-14T21:18:08.0591834Z  * [new tag]                 ciflow/inductor/157635      -> ciflow/inductor/157635
2025-08-14T21:18:08.0592008Z  * [new tag]                 ciflow/inductor/157685      -> ciflow/inductor/157685
2025-08-14T21:18:08.0592148Z  * [new tag]                 ciflow/inductor/157686      -> ciflow/inductor/157686
2025-08-14T21:18:08.0593063Z  * [new tag]                 ciflow/inductor/157689      -> ciflow/inductor/157689
2025-08-14T21:18:08.0593187Z  * [new tag]                 ciflow/inductor/157699      -> ciflow/inductor/157699
2025-08-14T21:18:08.0594057Z  * [new tag]                 ciflow/inductor/157743      -> ciflow/inductor/157743
2025-08-14T21:18:08.0594323Z  * [new tag]                 ciflow/inductor/157944      -> ciflow/inductor/157944
2025-08-14T21:18:08.0594558Z  * [new tag]                 ciflow/inductor/157971      -> ciflow/inductor/157971
2025-08-14T21:18:08.0595677Z  * [new tag]                 ciflow/inductor/157994      -> ciflow/inductor/157994
2025-08-14T21:18:08.0595799Z  * [new tag]                 ciflow/inductor/158061      -> ciflow/inductor/158061
2025-08-14T21:18:08.0596119Z  * [new tag]                 ciflow/inductor/158091      -> ciflow/inductor/158091
2025-08-14T21:18:08.0596459Z  * [new tag]                 ciflow/inductor/158097      -> ciflow/inductor/158097
2025-08-14T21:18:08.0596871Z  * [new tag]                 ciflow/inductor/158098      -> ciflow/inductor/158098
2025-08-14T21:18:08.0597252Z  * [new tag]                 ciflow/inductor/158104      -> ciflow/inductor/158104
2025-08-14T21:18:08.0599285Z  * [new tag]                 ciflow/inductor/158168      -> ciflow/inductor/158168
2025-08-14T21:18:08.0599463Z  * [new tag]                 ciflow/inductor/158250      -> ciflow/inductor/158250
2025-08-14T21:18:08.0599583Z  * [new tag]                 ciflow/inductor/158321      -> ciflow/inductor/158321
2025-08-14T21:18:08.0599705Z  * [new tag]                 ciflow/inductor/158609      -> ciflow/inductor/158609
2025-08-14T21:18:08.0599830Z  * [new tag]                 ciflow/inductor/158647      -> ciflow/inductor/158647
2025-08-14T21:18:08.0599985Z  * [new tag]                 ciflow/inductor/158914      -> ciflow/inductor/158914
2025-08-14T21:18:08.0601014Z  * [new tag]                 ciflow/inductor/158932      -> ciflow/inductor/158932
2025-08-14T21:18:08.0601140Z  * [new tag]                 ciflow/inductor/158987      -> ciflow/inductor/158987
2025-08-14T21:18:08.0601599Z  * [new tag]                 ciflow/inductor/159009      -> ciflow/inductor/159009
2025-08-14T21:18:08.0601885Z  * [new tag]                 ciflow/inductor/159010      -> ciflow/inductor/159010
2025-08-14T21:18:08.0602424Z  * [new tag]                 ciflow/inductor/159093      -> ciflow/inductor/159093
2025-08-14T21:18:08.0602573Z  * [new tag]                 ciflow/inductor/159158      -> ciflow/inductor/159158
2025-08-14T21:18:08.0603484Z  * [new tag]                 ciflow/inductor/159197      -> ciflow/inductor/159197
2025-08-14T21:18:08.0603782Z  * [new tag]                 ciflow/inductor/159274      -> ciflow/inductor/159274
2025-08-14T21:18:08.0604265Z  * [new tag]                 ciflow/inductor/159281      -> ciflow/inductor/159281
2025-08-14T21:18:08.0604597Z  * [new tag]                 ciflow/inductor/159329      -> ciflow/inductor/159329
2025-08-14T21:18:08.0605090Z  * [new tag]                 ciflow/inductor/159361      -> ciflow/inductor/159361
2025-08-14T21:18:08.0605641Z  * [new tag]                 ciflow/inductor/159365      -> ciflow/inductor/159365
2025-08-14T21:18:08.0605899Z  * [new tag]                 ciflow/inductor/159366      -> ciflow/inductor/159366
2025-08-14T21:18:08.0606723Z  * [new tag]                 ciflow/inductor/159367      -> ciflow/inductor/159367
2025-08-14T21:18:08.0606903Z  * [new tag]                 ciflow/inductor/159368      -> ciflow/inductor/159368
2025-08-14T21:18:08.0607313Z  * [new tag]                 ciflow/inductor/159473      -> ciflow/inductor/159473
2025-08-14T21:18:08.0608884Z  * [new tag]                 ciflow/inductor/159483      -> ciflow/inductor/159483
2025-08-14T21:18:08.0609047Z  * [new tag]                 ciflow/inductor/159508      -> ciflow/inductor/159508
2025-08-14T21:18:08.0609166Z  * [new tag]                 ciflow/inductor/159523      -> ciflow/inductor/159523
2025-08-14T21:18:08.0609320Z  * [new tag]                 ciflow/inductor/159678      -> ciflow/inductor/159678
2025-08-14T21:18:08.0609707Z  * [new tag]                 ciflow/inductor/159691      -> ciflow/inductor/159691
2025-08-14T21:18:08.0610329Z  * [new tag]                 ciflow/inductor/159778      -> ciflow/inductor/159778
2025-08-14T21:18:08.0610889Z  * [new tag]                 ciflow/inductor/159786      -> ciflow/inductor/159786
2025-08-14T21:18:08.0611210Z  * [new tag]                 ciflow/inductor/159817      -> ciflow/inductor/159817
2025-08-14T21:18:08.0611689Z  * [new tag]                 ciflow/inductor/159842      -> ciflow/inductor/159842
2025-08-14T21:18:08.0616541Z  * [new tag]                 ciflow/inductor/159864      -> ciflow/inductor/159864
2025-08-14T21:18:08.0616702Z  * [new tag]                 ciflow/inductor/159865      -> ciflow/inductor/159865
2025-08-14T21:18:08.0616857Z  * [new tag]                 ciflow/inductor/159869      -> ciflow/inductor/159869
2025-08-14T21:18:08.0617001Z  * [new tag]                 ciflow/inductor/159875      -> ciflow/inductor/159875
2025-08-14T21:18:08.0617128Z  * [new tag]                 ciflow/inductor/159889      -> ciflow/inductor/159889
2025-08-14T21:18:08.0617242Z  * [new tag]                 ciflow/inductor/159902      -> ciflow/inductor/159902
2025-08-14T21:18:08.0617360Z  * [new tag]                 ciflow/inductor/159923      -> ciflow/inductor/159923
2025-08-14T21:18:08.0617479Z  * [new tag]                 ciflow/inductor/159944      -> ciflow/inductor/159944
2025-08-14T21:18:08.0617590Z  * [new tag]                 ciflow/inductor/160004      -> ciflow/inductor/160004
2025-08-14T21:18:08.0617707Z  * [new tag]                 ciflow/inductor/160080      -> ciflow/inductor/160080
2025-08-14T21:18:08.0617823Z  * [new tag]                 ciflow/inductor/160108      -> ciflow/inductor/160108
2025-08-14T21:18:08.0617948Z  * [new tag]                 ciflow/inductor/160109      -> ciflow/inductor/160109
2025-08-14T21:18:08.0618249Z  * [new tag]                 ciflow/inductor/160111      -> ciflow/inductor/160111
2025-08-14T21:18:08.0618777Z  * [new tag]                 ciflow/inductor/160113      -> ciflow/inductor/160113
2025-08-14T21:18:08.0619214Z  * [new tag]                 ciflow/inductor/160127      -> ciflow/inductor/160127
2025-08-14T21:18:08.0619494Z  * [new tag]                 ciflow/inductor/160131      -> ciflow/inductor/160131
2025-08-14T21:18:08.0620014Z  * [new tag]                 ciflow/inductor/160132      -> ciflow/inductor/160132
2025-08-14T21:18:08.0620339Z  * [new tag]                 ciflow/inductor/160136      -> ciflow/inductor/160136
2025-08-14T21:18:08.0621235Z  * [new tag]                 ciflow/inductor/160138      -> ciflow/inductor/160138
2025-08-14T21:18:08.0621374Z  * [new tag]                 ciflow/inductor/160151      -> ciflow/inductor/160151
2025-08-14T21:18:08.0624751Z  * [new tag]                 ciflow/inductor/160152      -> ciflow/inductor/160152
2025-08-14T21:18:08.0624936Z  * [new tag]                 ciflow/inductor/160154      -> ciflow/inductor/160154
2025-08-14T21:18:08.0625060Z  * [new tag]                 ciflow/inductor/160156      -> ciflow/inductor/160156
2025-08-14T21:18:08.0625176Z  * [new tag]                 ciflow/inductor/160161      -> ciflow/inductor/160161
2025-08-14T21:18:08.0625300Z  * [new tag]                 ciflow/inductor/160166      -> ciflow/inductor/160166
2025-08-14T21:18:08.0625424Z  * [new tag]                 ciflow/inductor/160168      -> ciflow/inductor/160168
2025-08-14T21:18:08.0625546Z  * [new tag]                 ciflow/inductor/160174      -> ciflow/inductor/160174
2025-08-14T21:18:08.0625662Z  * [new tag]                 ciflow/inductor/160181      -> ciflow/inductor/160181
2025-08-14T21:18:08.0625777Z  * [new tag]                 ciflow/inductor/160183      -> ciflow/inductor/160183
2025-08-14T21:18:08.0626154Z  * [new tag]                 ciflow/inductor/160190      -> ciflow/inductor/160190
2025-08-14T21:18:08.0627117Z  * [new tag]                 ciflow/inductor/160198      -> ciflow/inductor/160198
2025-08-14T21:18:08.0627367Z  * [new tag]                 ciflow/inductor/160201      -> ciflow/inductor/160201
2025-08-14T21:18:08.0627738Z  * [new tag]                 ciflow/inductor/160209      -> ciflow/inductor/160209
2025-08-14T21:18:08.0631004Z  * [new tag]                 ciflow/inductor/160218      -> ciflow/inductor/160218
2025-08-14T21:18:08.0631308Z  * [new tag]                 ciflow/inductor/160239      -> ciflow/inductor/160239
2025-08-14T21:18:08.0631433Z  * [new tag]                 ciflow/inductor/160250      -> ciflow/inductor/160250
2025-08-14T21:18:08.0631544Z  * [new tag]                 ciflow/inductor/160253      -> ciflow/inductor/160253
2025-08-14T21:18:08.0631655Z  * [new tag]                 ciflow/inductor/160266      -> ciflow/inductor/160266
2025-08-14T21:18:08.0631775Z  * [new tag]                 ciflow/inductor/160282      -> ciflow/inductor/160282
2025-08-14T21:18:08.0631893Z  * [new tag]                 ciflow/inductor/160298      -> ciflow/inductor/160298
2025-08-14T21:18:08.0632011Z  * [new tag]                 ciflow/inductor/160301      -> ciflow/inductor/160301
2025-08-14T21:18:08.0632135Z  * [new tag]                 ciflow/inductor/160310      -> ciflow/inductor/160310
2025-08-14T21:18:08.0632641Z  * [new tag]                 ciflow/inductor/160323      -> ciflow/inductor/160323
2025-08-14T21:18:08.0633306Z  * [new tag]                 ciflow/inductor/160324      -> ciflow/inductor/160324
2025-08-14T21:18:08.0633973Z  * [new tag]                 ciflow/inductor/160325      -> ciflow/inductor/160325
2025-08-14T21:18:08.0634250Z  * [new tag]                 ciflow/inductor/160326      -> ciflow/inductor/160326
2025-08-14T21:18:08.0635515Z  * [new tag]                 ciflow/inductor/160327      -> ciflow/inductor/160327
2025-08-14T21:18:08.0635634Z  * [new tag]                 ciflow/inductor/160328      -> ciflow/inductor/160328
2025-08-14T21:18:08.0635838Z  * [new tag]                 ciflow/inductor/160329      -> ciflow/inductor/160329
2025-08-14T21:18:08.0636487Z  * [new tag]                 ciflow/inductor/160351      -> ciflow/inductor/160351
2025-08-14T21:18:08.0636816Z  * [new tag]                 ciflow/inductor/160353      -> ciflow/inductor/160353
2025-08-14T21:18:08.0637436Z  * [new tag]                 ciflow/inductor/160362      -> ciflow/inductor/160362
2025-08-14T21:18:08.0637726Z  * [new tag]                 ciflow/inductor/160363      -> ciflow/inductor/160363
2025-08-14T21:18:08.0638158Z  * [new tag]                 ciflow/inductor/160364      -> ciflow/inductor/160364
2025-08-14T21:18:08.0638541Z  * [new tag]                 ciflow/inductor/160365      -> ciflow/inductor/160365
2025-08-14T21:18:08.0641910Z  * [new tag]                 ciflow/inductor/160366      -> ciflow/inductor/160366
2025-08-14T21:18:08.0642066Z  * [new tag]                 ciflow/inductor/160367      -> ciflow/inductor/160367
2025-08-14T21:18:08.0642183Z  * [new tag]                 ciflow/inductor/160368      -> ciflow/inductor/160368
2025-08-14T21:18:08.0642318Z  * [new tag]                 ciflow/inductor/160369      -> ciflow/inductor/160369
2025-08-14T21:18:08.0642428Z  * [new tag]                 ciflow/inductor/160371      -> ciflow/inductor/160371
2025-08-14T21:18:08.0642539Z  * [new tag]                 ciflow/inductor/160374      -> ciflow/inductor/160374
2025-08-14T21:18:08.0642660Z  * [new tag]                 ciflow/inductor/160375      -> ciflow/inductor/160375
2025-08-14T21:18:08.0642787Z  * [new tag]                 ciflow/inductor/160377      -> ciflow/inductor/160377
2025-08-14T21:18:08.0642903Z  * [new tag]                 ciflow/inductor/160380      -> ciflow/inductor/160380
2025-08-14T21:18:08.0644547Z  * [new tag]                 ciflow/inductor/160381      -> ciflow/inductor/160381
2025-08-14T21:18:08.0644709Z  * [new tag]                 ciflow/inductor/160383      -> ciflow/inductor/160383
2025-08-14T21:18:08.0645078Z  * [new tag]                 ciflow/inductor/160394      -> ciflow/inductor/160394
2025-08-14T21:18:08.0645427Z  * [new tag]                 ciflow/inductor/160401      -> ciflow/inductor/160401
2025-08-14T21:18:08.0645902Z  * [new tag]                 ciflow/inductor/160402      -> ciflow/inductor/160402
2025-08-14T21:18:08.0646308Z  * [new tag]                 ciflow/inductor/160403      -> ciflow/inductor/160403
2025-08-14T21:18:08.0646851Z  * [new tag]                 ciflow/inductor/160424      -> ciflow/inductor/160424
2025-08-14T21:18:08.0647134Z  * [new tag]                 ciflow/inductor/160426      -> ciflow/inductor/160426
2025-08-14T21:18:08.0648112Z  * [new tag]                 ciflow/inductor/160431      -> ciflow/inductor/160431
2025-08-14T21:18:08.0648424Z  * [new tag]                 ciflow/inductor/160448      -> ciflow/inductor/160448
2025-08-14T21:18:08.0648905Z  * [new tag]                 ciflow/inductor/160450      -> ciflow/inductor/160450
2025-08-14T21:18:08.0649210Z  * [new tag]                 ciflow/inductor/160455      -> ciflow/inductor/160455
2025-08-14T21:18:08.0650312Z  * [new tag]                 ciflow/inductor/160456      -> ciflow/inductor/160456
2025-08-14T21:18:08.0650443Z  * [new tag]                 ciflow/inductor/160461      -> ciflow/inductor/160461
2025-08-14T21:18:08.0650880Z  * [new tag]                 ciflow/inductor/160462      -> ciflow/inductor/160462
2025-08-14T21:18:08.0654261Z  * [new tag]                 ciflow/inductor/160467      -> ciflow/inductor/160467
2025-08-14T21:18:08.0654441Z  * [new tag]                 ciflow/inductor/160470      -> ciflow/inductor/160470
2025-08-14T21:18:08.0654566Z  * [new tag]                 ciflow/inductor/160473      -> ciflow/inductor/160473
2025-08-14T21:18:08.0654694Z  * [new tag]                 ciflow/inductor/160476      -> ciflow/inductor/160476
2025-08-14T21:18:08.0654812Z  * [new tag]                 ciflow/inductor/160480      -> ciflow/inductor/160480
2025-08-14T21:18:08.0654937Z  * [new tag]                 ciflow/inductor/160481      -> ciflow/inductor/160481
2025-08-14T21:18:08.0655188Z  * [new tag]                 ciflow/inductor/160482      -> ciflow/inductor/160482
2025-08-14T21:18:08.0655316Z  * [new tag]                 ciflow/inductor/160483      -> ciflow/inductor/160483
2025-08-14T21:18:08.0655437Z  * [new tag]                 ciflow/inductor/160485      -> ciflow/inductor/160485
2025-08-14T21:18:08.0655729Z  * [new tag]                 ciflow/inductor/160486      -> ciflow/inductor/160486
2025-08-14T21:18:08.0658416Z  * [new tag]                 ciflow/inductor/160503      -> ciflow/inductor/160503
2025-08-14T21:18:08.0658735Z  * [new tag]                 ciflow/inductor/160510      -> ciflow/inductor/160510
2025-08-14T21:18:08.0658956Z  * [new tag]                 ciflow/inductor/160527      -> ciflow/inductor/160527
2025-08-14T21:18:08.0659101Z  * [new tag]                 ciflow/inductor/160530      -> ciflow/inductor/160530
2025-08-14T21:18:08.0659221Z  * [new tag]                 ciflow/inductor/160531      -> ciflow/inductor/160531
2025-08-14T21:18:08.0659360Z  * [new tag]                 ciflow/inductor/160538      -> ciflow/inductor/160538
2025-08-14T21:18:08.0659496Z  * [new tag]                 ciflow/inductor/160539      -> ciflow/inductor/160539
2025-08-14T21:18:08.0660843Z  * [new tag]                 ciflow/inductor/160540      -> ciflow/inductor/160540
2025-08-14T21:18:08.0661103Z  * [new tag]                 ciflow/inductor/160548      -> ciflow/inductor/160548
2025-08-14T21:18:08.0661257Z  * [new tag]                 ciflow/inductor/160561      -> ciflow/inductor/160561
2025-08-14T21:18:08.0661636Z  * [new tag]                 ciflow/inductor/160576      -> ciflow/inductor/160576
2025-08-14T21:18:08.0662172Z  * [new tag]                 ciflow/inductor/160578      -> ciflow/inductor/160578
2025-08-14T21:18:08.0670482Z  * [new tag]                 ciflow/inductor/160580      -> ciflow/inductor/160580
2025-08-14T21:18:08.0670786Z  * [new tag]                 ciflow/inductor/160583      -> ciflow/inductor/160583
2025-08-14T21:18:08.0671013Z  * [new tag]                 ciflow/inductor/160589      -> ciflow/inductor/160589
2025-08-14T21:18:08.0671216Z  * [new tag]                 ciflow/inductor/160590      -> ciflow/inductor/160590
2025-08-14T21:18:08.0671348Z  * [new tag]                 ciflow/inductor/160592      -> ciflow/inductor/160592
2025-08-14T21:18:08.0671549Z  * [new tag]                 ciflow/inductor/160596      -> ciflow/inductor/160596
2025-08-14T21:18:08.0671871Z  * [new tag]                 ciflow/inductor/160601      -> ciflow/inductor/160601
2025-08-14T21:18:08.0672334Z  * [new tag]                 ciflow/inductor/160607      -> ciflow/inductor/160607
2025-08-14T21:18:08.0672506Z  * [new tag]                 ciflow/inductor/160608      -> ciflow/inductor/160608
2025-08-14T21:18:08.0672804Z  * [new tag]                 ciflow/inductor/160611      -> ciflow/inductor/160611
2025-08-14T21:18:08.0673877Z  * [new tag]                 ciflow/inductor/160614      -> ciflow/inductor/160614
2025-08-14T21:18:08.0674084Z  * [new tag]                 ciflow/inductor/160616      -> ciflow/inductor/160616
2025-08-14T21:18:08.0674355Z  * [new tag]                 ciflow/inductor/160619      -> ciflow/inductor/160619
2025-08-14T21:18:08.0674675Z  * [new tag]                 ciflow/inductor/160625      -> ciflow/inductor/160625
2025-08-14T21:18:08.0676206Z  * [new tag]                 ciflow/inductor/160635      -> ciflow/inductor/160635
2025-08-14T21:18:08.0676533Z  * [new tag]                 ciflow/inductor/160649      -> ciflow/inductor/160649
2025-08-14T21:18:08.0676682Z  * [new tag]                 ciflow/inductor/160658      -> ciflow/inductor/160658
2025-08-14T21:18:08.0676880Z  * [new tag]                 ciflow/inductor/160662      -> ciflow/inductor/160662
2025-08-14T21:18:08.0677013Z  * [new tag]                 ciflow/inductor/160668      -> ciflow/inductor/160668
2025-08-14T21:18:08.0677432Z  * [new tag]                 ciflow/inductor/160669      -> ciflow/inductor/160669
2025-08-14T21:18:08.0679085Z  * [new tag]                 ciflow/inductor/160670      -> ciflow/inductor/160670
2025-08-14T21:18:08.0679599Z  * [new tag]                 ciflow/inductor/160671      -> ciflow/inductor/160671
2025-08-14T21:18:08.0679872Z  * [new tag]                 ciflow/inductor/160677      -> ciflow/inductor/160677
2025-08-14T21:18:08.0680019Z  * [new tag]                 ciflow/inductor/160679      -> ciflow/inductor/160679
2025-08-14T21:18:08.0680146Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-08-14T21:18:08.0680704Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-08-14T21:18:08.0681242Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-08-14T21:18:08.0682048Z  * [new tag]                 ciflow/linux-aarch64/147855 -> ciflow/linux-aarch64/147855
2025-08-14T21:18:08.0682218Z  * [new tag]                 ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994
2025-08-14T21:18:08.0684674Z  * [new tag]                 ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737
2025-08-14T21:18:08.0684864Z  * [new tag]                 ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078
2025-08-14T21:18:08.0684998Z  * [new tag]                 ciflow/linux-aarch64/160299 -> ciflow/linux-aarch64/160299
2025-08-14T21:18:08.0685124Z  * [new tag]                 ciflow/linux-aarch64/160301 -> ciflow/linux-aarch64/160301
2025-08-14T21:18:08.0685278Z  * [new tag]                 ciflow/mps/155923           -> ciflow/mps/155923
2025-08-14T21:18:08.0685392Z  * [new tag]                 ciflow/mps/157553           -> ciflow/mps/157553
2025-08-14T21:18:08.0685504Z  * [new tag]                 ciflow/mps/157635           -> ciflow/mps/157635
2025-08-14T21:18:08.0685735Z  * [new tag]                 ciflow/mps/160541           -> ciflow/mps/160541
2025-08-14T21:18:08.0686642Z  * [new tag]                 ciflow/nightly/156049       -> ciflow/nightly/156049
2025-08-14T21:18:08.0686857Z  * [new tag]                 ciflow/nightly/158104       -> ciflow/nightly/158104
2025-08-14T21:18:08.0690710Z  * [new tag]                 ciflow/op-benchmark/157994  -> ciflow/op-benchmark/157994
2025-08-14T21:18:08.0690953Z  * [new tag]                 ciflow/periodic-rocm-mi300/139971 -> ciflow/periodic-rocm-mi300/139971
2025-08-14T21:18:08.0691146Z  * [new tag]                 ciflow/periodic-rocm-mi300/160073 -> ciflow/periodic-rocm-mi300/160073
2025-08-14T21:18:08.0691467Z  * [new tag]                 ciflow/periodic-rocm-mi300/160538 -> ciflow/periodic-rocm-mi300/160538
2025-08-14T21:18:08.0691610Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-08-14T21:18:08.0691738Z  * [new tag]                 ciflow/periodic/131296      -> ciflow/periodic/131296
2025-08-14T21:18:08.0691877Z  * [new tag]                 ciflow/periodic/139971      -> ciflow/periodic/139971
2025-08-14T21:18:08.0691996Z  * [new tag]                 ciflow/periodic/143959      -> ciflow/periodic/143959
2025-08-14T21:18:08.0692285Z  * [new tag]                 ciflow/periodic/154595      -> ciflow/periodic/154595
2025-08-14T21:18:08.0692431Z  * [new tag]                 ciflow/periodic/156703      -> ciflow/periodic/156703
2025-08-14T21:18:08.0692545Z  * [new tag]                 ciflow/periodic/160201      -> ciflow/periodic/160201
2025-08-14T21:18:08.0692724Z  * [new tag]                 ciflow/periodic/160424      -> ciflow/periodic/160424
2025-08-14T21:18:08.0693115Z  * [new tag]                 ciflow/periodic/160538      -> ciflow/periodic/160538
2025-08-14T21:18:08.0697623Z  * [new tag]                 ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65
2025-08-14T21:18:08.0697954Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-08-14T21:18:08.0698355Z  * [new tag]                 ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b -> ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b
2025-08-14T21:18:08.0698774Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-08-14T21:18:08.0698916Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-08-14T21:18:08.0699366Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-08-14T21:18:08.0699741Z  * [new tag]                 ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee
2025-08-14T21:18:08.0700138Z  * [new tag]                 ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 -> ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93
2025-08-14T21:18:08.0700287Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-08-14T21:18:08.0700911Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-08-14T21:18:08.0701251Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-08-14T21:18:08.0701492Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-08-14T21:18:08.0701913Z  * [new tag]                 ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 -> ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51
2025-08-14T21:18:08.0703904Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-08-14T21:18:08.0704246Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-08-14T21:18:08.0704539Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-08-14T21:18:08.0704763Z  * [new tag]                 ciflow/rocm-mi300/151360    -> ciflow/rocm-mi300/151360
2025-08-14T21:18:08.0704973Z  * [new tag]                 ciflow/rocm-mi300/159158    -> ciflow/rocm-mi300/159158
2025-08-14T21:18:08.0705119Z  * [new tag]                 ciflow/rocm-mi300/160073    -> ciflow/rocm-mi300/160073
2025-08-14T21:18:08.0706671Z  * [new tag]                 ciflow/rocm-mi300/160468    -> ciflow/rocm-mi300/160468
2025-08-14T21:18:08.0709506Z  * [new tag]                 ciflow/rocm-mi300/160538    -> ciflow/rocm-mi300/160538
2025-08-14T21:18:08.0709822Z  * [new tag]                 ciflow/rocm-mi355/160215    -> ciflow/rocm-mi355/160215
2025-08-14T21:18:08.0709963Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-08-14T21:18:08.0710214Z  * [new tag]                 ciflow/rocm/151360          -> ciflow/rocm/151360
2025-08-14T21:18:08.0710462Z  * [new tag]                 ciflow/rocm/151845          -> ciflow/rocm/151845
2025-08-14T21:18:08.0710586Z  * [new tag]                 ciflow/rocm/154864          -> ciflow/rocm/154864
2025-08-14T21:18:08.0711159Z  * [new tag]                 ciflow/rocm/156491          -> ciflow/rocm/156491
2025-08-14T21:18:08.0711311Z  * [new tag]                 ciflow/rocm/158219          -> ciflow/rocm/158219
2025-08-14T21:18:08.0711426Z  * [new tag]                 ciflow/rocm/158220          -> ciflow/rocm/158220
2025-08-14T21:18:08.0711561Z  * [new tag]                 ciflow/rocm/158224          -> ciflow/rocm/158224
2025-08-14T21:18:08.0711673Z  * [new tag]                 ciflow/rocm/159158          -> ciflow/rocm/159158
2025-08-14T21:18:08.0711790Z  * [new tag]                 ciflow/rocm/160215          -> ciflow/rocm/160215
2025-08-14T21:18:08.0712067Z  * [new tag]                 ciflow/rocm/160468          -> ciflow/rocm/160468
2025-08-14T21:18:08.0712200Z  * [new tag]                 ciflow/rocm/160538          -> ciflow/rocm/160538
2025-08-14T21:18:08.0713968Z  * [new tag]                 ciflow/s390/143959          -> ciflow/s390/143959
2025-08-14T21:18:08.0714290Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-08-14T21:18:08.0714496Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-08-14T21:18:08.0714842Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-08-14T21:18:08.0715187Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-08-14T21:18:08.0715455Z  * [new tag]                 ciflow/slow/154595          -> ciflow/slow/154595
2025-08-14T21:18:08.0717041Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-08-14T21:18:08.0717346Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-08-14T21:18:08.0717572Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-08-14T21:18:08.0717705Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-08-14T21:18:08.0720106Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-08-14T21:18:08.0720391Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-08-14T21:18:08.0720639Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-08-14T21:18:08.0720769Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-08-14T21:18:08.0721197Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-08-14T21:18:08.0721413Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-08-14T21:18:08.0721876Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-08-14T21:18:08.0722695Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-08-14T21:18:08.0723177Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-08-14T21:18:08.0723841Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-08-14T21:18:08.0724552Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-08-14T21:18:08.0724808Z  * [new tag]                 ciflow/trunk/131296         -> ciflow/trunk/131296
2025-08-14T21:18:08.0725228Z  * [new tag]                 ciflow/trunk/137400         -> ciflow/trunk/137400
2025-08-14T21:18:08.0725555Z  * [new tag]                 ciflow/trunk/138996         -> ciflow/trunk/138996
2025-08-14T21:18:08.0726097Z  * [new tag]                 ciflow/trunk/139971         -> ciflow/trunk/139971
2025-08-14T21:18:08.0726632Z  * [new tag]                 ciflow/trunk/147360         -> ciflow/trunk/147360
2025-08-14T21:18:08.0727042Z  * [new tag]                 ciflow/trunk/147855         -> ciflow/trunk/147855
2025-08-14T21:18:08.0727712Z  * [new tag]                 ciflow/trunk/148180         -> ciflow/trunk/148180
2025-08-14T21:18:08.0727879Z  * [new tag]                 ciflow/trunk/148328         -> ciflow/trunk/148328
2025-08-14T21:18:08.0728213Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-08-14T21:18:08.0729146Z  * [new tag]                 ciflow/trunk/150282         -> ciflow/trunk/150282
2025-08-14T21:18:08.0729281Z  * [new tag]                 ciflow/trunk/150302         -> ciflow/trunk/150302
2025-08-14T21:18:08.0730101Z  * [new tag]                 ciflow/trunk/151845         -> ciflow/trunk/151845
2025-08-14T21:18:08.0730407Z  * [new tag]                 ciflow/trunk/152624         -> ciflow/trunk/152624
2025-08-14T21:18:08.0734655Z  * [new tag]                 ciflow/trunk/154193         -> ciflow/trunk/154193
2025-08-14T21:18:08.0734822Z  * [new tag]                 ciflow/trunk/154595         -> ciflow/trunk/154595
2025-08-14T21:18:08.0734935Z  * [new tag]                 ciflow/trunk/154650         -> ciflow/trunk/154650
2025-08-14T21:18:08.0735050Z  * [new tag]                 ciflow/trunk/154694         -> ciflow/trunk/154694
2025-08-14T21:18:08.0735172Z  * [new tag]                 ciflow/trunk/155958         -> ciflow/trunk/155958
2025-08-14T21:18:08.0735298Z  * [new tag]                 ciflow/trunk/156049         -> ciflow/trunk/156049
2025-08-14T21:18:08.0735553Z  * [new tag]                 ciflow/trunk/156703         -> ciflow/trunk/156703
2025-08-14T21:18:08.0735664Z  * [new tag]                 ciflow/trunk/156851         -> ciflow/trunk/156851
2025-08-14T21:18:08.0735945Z  * [new tag]                 ciflow/trunk/157148         -> ciflow/trunk/157148
2025-08-14T21:18:08.0736068Z  * [new tag]                 ciflow/trunk/157152         -> ciflow/trunk/157152
2025-08-14T21:18:08.0736274Z  * [new tag]                 ciflow/trunk/157432         -> ciflow/trunk/157432
2025-08-14T21:18:08.0736393Z  * [new tag]                 ciflow/trunk/157685         -> ciflow/trunk/157685
2025-08-14T21:18:08.0736656Z  * [new tag]                 ciflow/trunk/157689         -> ciflow/trunk/157689
2025-08-14T21:18:08.0737282Z  * [new tag]                 ciflow/trunk/157699         -> ciflow/trunk/157699
2025-08-14T21:18:08.0737588Z  * [new tag]                 ciflow/trunk/157813         -> ciflow/trunk/157813
2025-08-14T21:18:08.0737985Z  * [new tag]                 ciflow/trunk/157994         -> ciflow/trunk/157994
2025-08-14T21:18:08.0738428Z  * [new tag]                 ciflow/trunk/158091         -> ciflow/trunk/158091
2025-08-14T21:18:08.0738810Z  * [new tag]                 ciflow/trunk/158104         -> ciflow/trunk/158104
2025-08-14T21:18:08.0741459Z  * [new tag]                 ciflow/trunk/158219         -> ciflow/trunk/158219
2025-08-14T21:18:08.0741783Z  * [new tag]                 ciflow/trunk/158220         -> ciflow/trunk/158220
2025-08-14T21:18:08.0742162Z  * [new tag]                 ciflow/trunk/158224         -> ciflow/trunk/158224
2025-08-14T21:18:08.0742485Z  * [new tag]                 ciflow/trunk/158529         -> ciflow/trunk/158529
2025-08-14T21:18:08.0742697Z  * [new tag]                 ciflow/trunk/158647         -> ciflow/trunk/158647
2025-08-14T21:18:08.0742840Z  * [new tag]                 ciflow/trunk/158810         -> ciflow/trunk/158810
2025-08-14T21:18:08.0743038Z  * [new tag]                 ciflow/trunk/158812         -> ciflow/trunk/158812
2025-08-14T21:18:08.0743185Z  * [new tag]                 ciflow/trunk/158863         -> ciflow/trunk/158863
2025-08-14T21:18:08.0743406Z  * [new tag]                 ciflow/trunk/158864         -> ciflow/trunk/158864
2025-08-14T21:18:08.0744048Z  * [new tag]                 ciflow/trunk/158883         -> ciflow/trunk/158883
2025-08-14T21:18:08.0744368Z  * [new tag]                 ciflow/trunk/158914         -> ciflow/trunk/158914
2025-08-14T21:18:08.0744632Z  * [new tag]                 ciflow/trunk/158965         -> ciflow/trunk/158965
2025-08-14T21:18:08.0744926Z  * [new tag]                 ciflow/trunk/158987         -> ciflow/trunk/158987
2025-08-14T21:18:08.0745207Z  * [new tag]                 ciflow/trunk/159033         -> ciflow/trunk/159033
2025-08-14T21:18:08.0745900Z  * [new tag]                 ciflow/trunk/159140         -> ciflow/trunk/159140
2025-08-14T21:18:08.0746195Z  * [new tag]                 ciflow/trunk/159158         -> ciflow/trunk/159158
2025-08-14T21:18:08.0746529Z  * [new tag]                 ciflow/trunk/159553         -> ciflow/trunk/159553
2025-08-14T21:18:08.0746915Z  * [new tag]                 ciflow/trunk/159562         -> ciflow/trunk/159562
2025-08-14T21:18:08.0749149Z  * [new tag]                 ciflow/trunk/159682         -> ciflow/trunk/159682
2025-08-14T21:18:08.0749301Z  * [new tag]                 ciflow/trunk/159691         -> ciflow/trunk/159691
2025-08-14T21:18:08.0749431Z  * [new tag]                 ciflow/trunk/159842         -> ciflow/trunk/159842
2025-08-14T21:18:08.0749541Z  * [new tag]                 ciflow/trunk/159889         -> ciflow/trunk/159889
2025-08-14T21:18:08.0749659Z  * [new tag]                 ciflow/trunk/159923         -> ciflow/trunk/159923
2025-08-14T21:18:08.0749769Z  * [new tag]                 ciflow/trunk/160004         -> ciflow/trunk/160004
2025-08-14T21:18:08.0750286Z  * [new tag]                 ciflow/trunk/160113         -> ciflow/trunk/160113
2025-08-14T21:18:08.0750603Z  * [new tag]                 ciflow/trunk/160161         -> ciflow/trunk/160161
2025-08-14T21:18:08.0751150Z  * [new tag]                 ciflow/trunk/160168         -> ciflow/trunk/160168
2025-08-14T21:18:08.0751543Z  * [new tag]                 ciflow/trunk/160181         -> ciflow/trunk/160181
2025-08-14T21:18:08.0752016Z  * [new tag]                 ciflow/trunk/160183         -> ciflow/trunk/160183
2025-08-14T21:18:08.0752284Z  * [new tag]                 ciflow/trunk/160190         -> ciflow/trunk/160190
2025-08-14T21:18:08.0752682Z  * [new tag]                 ciflow/trunk/160198         -> ciflow/trunk/160198
2025-08-14T21:18:08.0753062Z  * [new tag]                 ciflow/trunk/160205         -> ciflow/trunk/160205
2025-08-14T21:18:08.0756016Z  * [new tag]                 ciflow/trunk/160219         -> ciflow/trunk/160219
2025-08-14T21:18:08.0756179Z  * [new tag]                 ciflow/trunk/160224         -> ciflow/trunk/160224
2025-08-14T21:18:08.0756300Z  * [new tag]                 ciflow/trunk/160250         -> ciflow/trunk/160250
2025-08-14T21:18:08.0756425Z  * [new tag]                 ciflow/trunk/160253         -> ciflow/trunk/160253
2025-08-14T21:18:08.0756542Z  * [new tag]                 ciflow/trunk/160335         -> ciflow/trunk/160335
2025-08-14T21:18:08.0756653Z  * [new tag]                 ciflow/trunk/160338         -> ciflow/trunk/160338
2025-08-14T21:18:08.0756766Z  * [new tag]                 ciflow/trunk/160383         -> ciflow/trunk/160383
2025-08-14T21:18:08.0756894Z  * [new tag]                 ciflow/trunk/160401         -> ciflow/trunk/160401
2025-08-14T21:18:08.0757139Z  * [new tag]                 ciflow/trunk/160403         -> ciflow/trunk/160403
2025-08-14T21:18:08.0757918Z  * [new tag]                 ciflow/trunk/160430         -> ciflow/trunk/160430
2025-08-14T21:18:08.0758193Z  * [new tag]                 ciflow/trunk/160431         -> ciflow/trunk/160431
2025-08-14T21:18:08.0758667Z  * [new tag]                 ciflow/trunk/160439         -> ciflow/trunk/160439
2025-08-14T21:18:08.0759111Z  * [new tag]                 ciflow/trunk/160449         -> ciflow/trunk/160449
2025-08-14T21:18:08.0759996Z  * [new tag]                 ciflow/trunk/160454         -> ciflow/trunk/160454
2025-08-14T21:18:08.0760231Z  * [new tag]                 ciflow/trunk/160468         -> ciflow/trunk/160468
2025-08-14T21:18:08.0760479Z  * [new tag]                 ciflow/trunk/160481         -> ciflow/trunk/160481
2025-08-14T21:18:08.0760968Z  * [new tag]                 ciflow/trunk/160485         -> ciflow/trunk/160485
2025-08-14T21:18:08.0764580Z  * [new tag]                 ciflow/trunk/160519         -> ciflow/trunk/160519
2025-08-14T21:18:08.0764730Z  * [new tag]                 ciflow/trunk/160527         -> ciflow/trunk/160527
2025-08-14T21:18:08.0764852Z  * [new tag]                 ciflow/trunk/160560         -> ciflow/trunk/160560
2025-08-14T21:18:08.0764960Z  * [new tag]                 ciflow/trunk/160578         -> ciflow/trunk/160578
2025-08-14T21:18:08.0765074Z  * [new tag]                 ciflow/trunk/160589         -> ciflow/trunk/160589
2025-08-14T21:18:08.0765196Z  * [new tag]                 ciflow/trunk/160592         -> ciflow/trunk/160592
2025-08-14T21:18:08.0765303Z  * [new tag]                 ciflow/trunk/160649         -> ciflow/trunk/160649
2025-08-14T21:18:08.0765426Z  * [new tag]                 ciflow/trunk/160656         -> ciflow/trunk/160656
2025-08-14T21:18:08.0766022Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-08-14T21:18:08.0766478Z  * [new tag]                 ciflow/vllm/160116          -> ciflow/vllm/160116
2025-08-14T21:18:08.0766867Z  * [new tag]                 ciflow/vllm/160583          -> ciflow/vllm/160583
2025-08-14T21:18:08.0767304Z  * [new tag]                 ciflow/vllm/160619          -> ciflow/vllm/160619
2025-08-14T21:18:08.0767689Z  * [new tag]                 ciflow/vllm/160625          -> ciflow/vllm/160625
2025-08-14T21:18:08.0768157Z  * [new tag]                 ciflow/vllm/160627          -> ciflow/vllm/160627
2025-08-14T21:18:08.0769171Z  * [new tag]                 ciflow/win-arm64/156049     -> ciflow/win-arm64/156049
2025-08-14T21:18:08.0769302Z  * [new tag]                 ciflow/win-arm64/158104     -> ciflow/win-arm64/158104
2025-08-14T21:18:08.0769677Z  * [new tag]                 ciflow/win-arm64/159553     -> ciflow/win-arm64/159553
2025-08-14T21:18:08.0770096Z  * [new tag]                 ciflow/win-arm64/159562     -> ciflow/win-arm64/159562
2025-08-14T21:18:08.0770832Z  * [new tag]                 ciflow/win-arm64/159777     -> ciflow/win-arm64/159777
2025-08-14T21:18:08.0771051Z  * [new tag]                 ciflow/win-arm64/159780     -> ciflow/win-arm64/159780
2025-08-14T21:18:08.0771426Z  * [new tag]                 ciflow/win-arm64/159842     -> ciflow/win-arm64/159842
2025-08-14T21:18:08.0774518Z  * [new tag]                 ciflow/win-arm64/160250     -> ciflow/win-arm64/160250
2025-08-14T21:18:08.0774687Z  * [new tag]                 ciflow/win-arm64/160253     -> ciflow/win-arm64/160253
2025-08-14T21:18:08.0774845Z  * [new tag]                 ciflow/win-arm64/160454     -> ciflow/win-arm64/160454
2025-08-14T21:18:08.0774966Z  * [new tag]                 ciflow/win-arm64/160560     -> ciflow/win-arm64/160560
2025-08-14T21:18:08.0775086Z  * [new tag]                 ciflow/xpu/138996           -> ciflow/xpu/138996
2025-08-14T21:18:08.0775192Z  * [new tag]                 ciflow/xpu/139971           -> ciflow/xpu/139971
2025-08-14T21:18:08.0775306Z  * [new tag]                 ciflow/xpu/140972           -> ciflow/xpu/140972
2025-08-14T21:18:08.0775582Z  * [new tag]                 ciflow/xpu/143553           -> ciflow/xpu/143553
2025-08-14T21:18:08.0775706Z  * [new tag]                 ciflow/xpu/156272           -> ciflow/xpu/156272
2025-08-14T21:18:08.0775998Z  * [new tag]                 ciflow/xpu/156812           -> ciflow/xpu/156812
2025-08-14T21:18:08.0776404Z  * [new tag]                 ciflow/xpu/157699           -> ciflow/xpu/157699
2025-08-14T21:18:08.0777012Z  * [new tag]                 ciflow/xpu/157994           -> ciflow/xpu/157994
2025-08-14T21:18:08.0777544Z  * [new tag]                 ciflow/xpu/158336           -> ciflow/xpu/158336
2025-08-14T21:18:08.0777755Z  * [new tag]                 ciflow/xpu/158733           -> ciflow/xpu/158733
2025-08-14T21:18:08.0778006Z  * [new tag]                 ciflow/xpu/159033           -> ciflow/xpu/159033
2025-08-14T21:18:08.0780460Z  * [new tag]                 ciflow/xpu/159118           -> ciflow/xpu/159118
2025-08-14T21:18:08.0780986Z  * [new tag]                 ciflow/xpu/159140           -> ciflow/xpu/159140
2025-08-14T21:18:08.0781183Z  * [new tag]                 ciflow/xpu/159241           -> ciflow/xpu/159241
2025-08-14T21:18:08.0781309Z  * [new tag]                 ciflow/xpu/159473           -> ciflow/xpu/159473
2025-08-14T21:18:08.0781496Z  * [new tag]                 ciflow/xpu/159474           -> ciflow/xpu/159474
2025-08-14T21:18:08.0781627Z  * [new tag]                 ciflow/xpu/159553           -> ciflow/xpu/159553
2025-08-14T21:18:08.0781815Z  * [new tag]                 ciflow/xpu/159944           -> ciflow/xpu/159944
2025-08-14T21:18:08.0782641Z  * [new tag]                 ciflow/xpu/160062           -> ciflow/xpu/160062
2025-08-14T21:18:08.0782769Z  * [new tag]                 ciflow/xpu/160067           -> ciflow/xpu/160067
2025-08-14T21:18:08.0785718Z  * [new tag]                 ciflow/xpu/160158           -> ciflow/xpu/160158
2025-08-14T21:18:08.0786034Z  * [new tag]                 ciflow/xpu/160173           -> ciflow/xpu/160173
2025-08-14T21:18:08.0786217Z  * [new tag]                 ciflow/xpu/160183           -> ciflow/xpu/160183
2025-08-14T21:18:08.0786394Z  * [new tag]                 ciflow/xpu/160301           -> ciflow/xpu/160301
2025-08-14T21:18:08.0786519Z  * [new tag]                 ciflow/xpu/160403           -> ciflow/xpu/160403
2025-08-14T21:18:08.0786620Z  * [new tag]                 ciflow/xpu/160606           -> ciflow/xpu/160606
2025-08-14T21:18:08.0786857Z  * [new tag]                 cslpull75                   -> cslpull75
2025-08-14T21:18:08.0787108Z  * [new tag]                 cslpull76                   -> cslpull76
2025-08-14T21:18:08.0787459Z  * [new tag]                 cslpull77                   -> cslpull77
2025-08-14T21:18:08.0788109Z  * [new tag]                 cslpull78                   -> cslpull78
2025-08-14T21:18:08.0790296Z  * [new tag]                 cslpull79                   -> cslpull79
2025-08-14T21:18:08.0790604Z  * [new tag]                 cslpull80                   -> cslpull80
2025-08-14T21:18:08.0790785Z  * [new tag]                 cslpull81                   -> cslpull81
2025-08-14T21:18:08.0791122Z  * [new tag]                 cslpull82                   -> cslpull82
2025-08-14T21:18:08.0791222Z  * [new tag]                 cslpull83                   -> cslpull83
2025-08-14T21:18:08.0791316Z  * [new tag]                 cslpull84                   -> cslpull84
2025-08-14T21:18:08.0792616Z  * [new tag]                 cslpull85                   -> cslpull85
2025-08-14T21:18:08.0793229Z  * [new tag]                 cslpull86                   -> cslpull86
2025-08-14T21:18:08.0793364Z  * [new tag]                 cslpull87                   -> cslpull87
2025-08-14T21:18:08.0793523Z  * [new tag]                 cslpull88                   -> cslpull88
2025-08-14T21:18:08.0795527Z  * [new tag]                 cslpull89                   -> cslpull89
2025-08-14T21:18:08.0795800Z  * [new tag]                 cslpull90                   -> cslpull90
2025-08-14T21:18:08.0795996Z  * [new tag]                 cslpull91                   -> cslpull91
2025-08-14T21:18:08.0796106Z  * [new tag]                 cslpull92                   -> cslpull92
2025-08-14T21:18:08.0796516Z  * [new tag]                 flight_5                    -> flight_5
2025-08-14T21:18:08.0797695Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-08-14T21:18:08.0797927Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-08-14T21:18:08.0798043Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-08-14T21:18:08.0800124Z  * [new tag]                 forpull1                    -> forpull1
2025-08-14T21:18:08.0800452Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-08-14T21:18:08.0800683Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-08-14T21:18:08.0800814Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-08-14T21:18:08.0801209Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-08-14T21:18:08.0801611Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-08-14T21:18:08.0802435Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-08-14T21:18:08.0805857Z  * [new tag]                 trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 -> trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6
2025-08-14T21:18:08.0806147Z  * [new tag]                 trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 -> trunk/017259f9c65b6fad55fb9597d7077e2543eaae46
2025-08-14T21:18:08.0806377Z  * [new tag]                 trunk/01bcf9a40dea937637d2cdd530bed2652510943d -> trunk/01bcf9a40dea937637d2cdd530bed2652510943d
2025-08-14T21:18:08.0806593Z  * [new tag]                 trunk/01f66d08d93365015f4af005a252f439c4d4013a -> trunk/01f66d08d93365015f4af005a252f439c4d4013a
2025-08-14T21:18:08.0806824Z  * [new tag]                 trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e -> trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e
2025-08-14T21:18:08.0807064Z  * [new tag]                 trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb -> trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb
2025-08-14T21:18:08.0807290Z  * [new tag]                 trunk/05c19d1acecc01b0d2512364183058a6885b9869 -> trunk/05c19d1acecc01b0d2512364183058a6885b9869
2025-08-14T21:18:08.0807515Z  * [new tag]                 trunk/05c417715f791875fbf28cfc3fc86142de1a3206 -> trunk/05c417715f791875fbf28cfc3fc86142de1a3206
2025-08-14T21:18:08.0807862Z  * [new tag]                 trunk/06824f3c7268bb807a422b663047cd0900ddd126 -> trunk/06824f3c7268bb807a422b663047cd0900ddd126
2025-08-14T21:18:08.0808103Z  * [new tag]                 trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610
2025-08-14T21:18:08.0808333Z  * [new tag]                 trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 -> trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057
2025-08-14T21:18:08.0808605Z  * [new tag]                 trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 -> trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1
2025-08-14T21:18:08.0808953Z  * [new tag]                 trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde -> trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde
2025-08-14T21:18:08.0809985Z  * [new tag]                 trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4
2025-08-14T21:18:08.0810217Z  * [new tag]                 trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 -> trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81
2025-08-14T21:18:08.0811157Z  * [new tag]                 trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 -> trunk/0d71ca2c46753bb268bfdcf815c14415c122a289
2025-08-14T21:18:08.0811402Z  * [new tag]                 trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b -> trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b
2025-08-14T21:18:08.0811930Z  * [new tag]                 trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 -> trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11
2025-08-14T21:18:08.0814514Z  * [new tag]                 trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca -> trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca
2025-08-14T21:18:08.0814779Z  * [new tag]                 trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 -> trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483
2025-08-14T21:18:08.0815008Z  * [new tag]                 trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 -> trunk/1028c5e2d50e121865bf98307e7c035f549a24b2
2025-08-14T21:18:08.0815265Z  * [new tag]                 trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e -> trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e
2025-08-14T21:18:08.0815488Z  * [new tag]                 trunk/10e3514c962b58cbbee994257872a626ff76d51b -> trunk/10e3514c962b58cbbee994257872a626ff76d51b
2025-08-14T21:18:08.0815716Z  * [new tag]                 trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 -> trunk/1128f4c2a822cbe34a9d966306af15097179ffe1
2025-08-14T21:18:08.0816107Z  * [new tag]                 trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e -> trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e
2025-08-14T21:18:08.0816737Z  * [new tag]                 trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 -> trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76
2025-08-14T21:18:08.0816981Z  * [new tag]                 trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 -> trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91
2025-08-14T21:18:08.0817762Z  * [new tag]                 trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 -> trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8
2025-08-14T21:18:08.0818273Z  * [new tag]                 trunk/15e49f61643e4c0eef420f0981609709ef55b848 -> trunk/15e49f61643e4c0eef420f0981609709ef55b848
2025-08-14T21:18:08.0818925Z  * [new tag]                 trunk/16d15445f8bd8740095b23de4af89d757af793ca -> trunk/16d15445f8bd8740095b23de4af89d757af793ca
2025-08-14T21:18:08.0819426Z  * [new tag]                 trunk/178515d0ff6833c8e9221482b2a650ab31e00019 -> trunk/178515d0ff6833c8e9221482b2a650ab31e00019
2025-08-14T21:18:08.0819801Z  * [new tag]                 trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe -> trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe
2025-08-14T21:18:08.0820466Z  * [new tag]                 trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf -> trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf
2025-08-14T21:18:08.0821020Z  * [new tag]                 trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca -> trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca
2025-08-14T21:18:08.0821596Z  * [new tag]                 trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 -> trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014
2025-08-14T21:18:08.0822071Z  * [new tag]                 trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a -> trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a
2025-08-14T21:18:08.0822622Z  * [new tag]                 trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7
2025-08-14T21:18:08.0823597Z  * [new tag]                 trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8
2025-08-14T21:18:08.0824357Z  * [new tag]                 trunk/1c26c53851c212a7c90a325549a72f0571613a8c -> trunk/1c26c53851c212a7c90a325549a72f0571613a8c
2025-08-14T21:18:08.0824704Z  * [new tag]                 trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 -> trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613
2025-08-14T21:18:08.0825611Z  * [new tag]                 trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 -> trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3
2025-08-14T21:18:08.0825966Z  * [new tag]                 trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc -> trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc
2025-08-14T21:18:08.0826388Z  * [new tag]                 trunk/1f4057c11ac941fb324386ca594d0a6882185aad -> trunk/1f4057c11ac941fb324386ca594d0a6882185aad
2025-08-14T21:18:08.0828213Z  * [new tag]                 trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:18:08.0828497Z  * [new tag]                 trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65
2025-08-14T21:18:08.0828733Z  * [new tag]                 trunk/206c1eef6571f906c2792d899a09136b3fce9673 -> trunk/206c1eef6571f906c2792d899a09136b3fce9673
2025-08-14T21:18:08.0828972Z  * [new tag]                 trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb -> trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb
2025-08-14T21:18:08.0829229Z  * [new tag]                 trunk/21392c0e06ac2b2621950455975ca6332f0bf641 -> trunk/21392c0e06ac2b2621950455975ca6332f0bf641
2025-08-14T21:18:08.0829629Z  * [new tag]                 trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 -> trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6
2025-08-14T21:18:08.0830056Z  * [new tag]                 trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d -> trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d
2025-08-14T21:18:08.0830556Z  * [new tag]                 trunk/231c72240d80091f099c95e326d3600cba866eee -> trunk/231c72240d80091f099c95e326d3600cba866eee
2025-08-14T21:18:08.0831151Z  * [new tag]                 trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c -> trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c
2025-08-14T21:18:08.0835153Z  * [new tag]                 trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd -> trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd
2025-08-14T21:18:08.0835421Z  * [new tag]                 trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 -> trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9
2025-08-14T21:18:08.0835682Z  * [new tag]                 trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 -> trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227
2025-08-14T21:18:08.0835909Z  * [new tag]                 trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 -> trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72
2025-08-14T21:18:08.0836134Z  * [new tag]                 trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c -> trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c
2025-08-14T21:18:08.0836393Z  * [new tag]                 trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 -> trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31
2025-08-14T21:18:08.0836623Z  * [new tag]                 trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad -> trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad
2025-08-14T21:18:08.0836863Z  * [new tag]                 trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 -> trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1
2025-08-14T21:18:08.0837080Z  * [new tag]                 trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 -> trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51
2025-08-14T21:18:08.0837444Z  * [new tag]                 trunk/2ee22e435131369a7e4f8cc4732579acc29a941b -> trunk/2ee22e435131369a7e4f8cc4732579acc29a941b
2025-08-14T21:18:08.0837667Z  * [new tag]                 trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 -> trunk/2f4c2226175512af787725c4d5ad7313c60d4db1
2025-08-14T21:18:08.0837886Z  * [new tag]                 trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 -> trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5
2025-08-14T21:18:08.0838153Z  * [new tag]                 trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2
2025-08-14T21:18:08.0838821Z  * [new tag]                 trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 -> trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6
2025-08-14T21:18:08.0839937Z  * [new tag]                 trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 -> trunk/305fa2239365ad17ac9c534a68bba8a149c42d67
2025-08-14T21:18:08.0840167Z  * [new tag]                 trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 -> trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706
2025-08-14T21:18:08.0840636Z  * [new tag]                 trunk/32099961d588fc19ead8afe805d6b5108de75669 -> trunk/32099961d588fc19ead8afe805d6b5108de75669
2025-08-14T21:18:08.0841266Z  * [new tag]                 trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 -> trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047
2025-08-14T21:18:08.0841556Z  * [new tag]                 trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 -> trunk/334b38ccc4427b1d14981c48a3a0b92180d58225
2025-08-14T21:18:08.0842305Z  * [new tag]                 trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 -> trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513
2025-08-14T21:18:08.0842706Z  * [new tag]                 trunk/33d94018668951611b318b7515ae96f04e48eac0 -> trunk/33d94018668951611b318b7515ae96f04e48eac0
2025-08-14T21:18:08.0843272Z  * [new tag]                 trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb -> trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb
2025-08-14T21:18:08.0843870Z  * [new tag]                 trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 -> trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673
2025-08-14T21:18:08.0844308Z  * [new tag]                 trunk/355462e1278d818deb9ef4a184073d5b66074816 -> trunk/355462e1278d818deb9ef4a184073d5b66074816
2025-08-14T21:18:08.0848394Z  * [new tag]                 trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 -> trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919
2025-08-14T21:18:08.0848702Z  * [new tag]                 trunk/36f46d082a4954921cb8493223f000f2aab79ed7 -> trunk/36f46d082a4954921cb8493223f000f2aab79ed7
2025-08-14T21:18:08.0849612Z  * [new tag]                 trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 -> trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2
2025-08-14T21:18:08.0850250Z  * [new tag]                 trunk/3a562374401113187ce2566b87e3f1d87d7c53aa -> trunk/3a562374401113187ce2566b87e3f1d87d7c53aa
2025-08-14T21:18:08.0850829Z  * [new tag]                 trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae -> trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae
2025-08-14T21:18:08.0851150Z  * [new tag]                 trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 -> trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08
2025-08-14T21:18:08.0851608Z  * [new tag]                 trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 -> trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0
2025-08-14T21:18:08.0855212Z  * [new tag]                 trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 -> trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2
2025-08-14T21:18:08.0855516Z  * [new tag]                 trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f -> trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f
2025-08-14T21:18:08.0855786Z  * [new tag]                 trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 -> trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0
2025-08-14T21:18:08.0856033Z  * [new tag]                 trunk/3faee0a6318afcbbbb48687009a459214910d820 -> trunk/3faee0a6318afcbbbb48687009a459214910d820
2025-08-14T21:18:08.0856415Z  * [new tag]                 trunk/3fcd79e023da7156ac584992ebab29205d3b7881 -> trunk/3fcd79e023da7156ac584992ebab29205d3b7881
2025-08-14T21:18:08.0856671Z  * [new tag]                 trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 -> trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6
2025-08-14T21:18:08.0856915Z  * [new tag]                 trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 -> trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23
2025-08-14T21:18:08.0857169Z  * [new tag]                 trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 -> trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60
2025-08-14T21:18:08.0857413Z  * [new tag]                 trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d -> trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d
2025-08-14T21:18:08.0857675Z  * [new tag]                 trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f -> trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f
2025-08-14T21:18:08.0857910Z  * [new tag]                 trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 -> trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3
2025-08-14T21:18:08.0858654Z  * [new tag]                 trunk/45ba7ecda876685b083cbbe932450560c566826b -> trunk/45ba7ecda876685b083cbbe932450560c566826b
2025-08-14T21:18:08.0859624Z  * [new tag]                 trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 -> trunk/47a1db823dfcdacdb99f317428fc3791a18c5812
2025-08-14T21:18:08.0859866Z  * [new tag]                 trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee
2025-08-14T21:18:08.0860466Z  * [new tag]                 trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3
2025-08-14T21:18:08.0861028Z  * [new tag]                 trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d -> trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d
2025-08-14T21:18:08.0861580Z  * [new tag]                 trunk/4d419a74610c32b1372f8802dcc61893740a23cf -> trunk/4d419a74610c32b1372f8802dcc61893740a23cf
2025-08-14T21:18:08.0862331Z  * [new tag]                 trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 -> trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235
2025-08-14T21:18:08.0862931Z  * [new tag]                 trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc -> trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc
2025-08-14T21:18:08.0868645Z  * [new tag]                 trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 -> trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42
2025-08-14T21:18:08.0868927Z  * [new tag]                 trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d -> trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d
2025-08-14T21:18:08.0869361Z  * [new tag]                 trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa -> trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa
2025-08-14T21:18:08.0869580Z  * [new tag]                 trunk/53e39494958b7e2278cc8176f63636e812e8945f -> trunk/53e39494958b7e2278cc8176f63636e812e8945f
2025-08-14T21:18:08.0869813Z  * [new tag]                 trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce -> trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce
2025-08-14T21:18:08.0870041Z  * [new tag]                 trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919
2025-08-14T21:18:08.0870272Z  * [new tag]                 trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 -> trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3
2025-08-14T21:18:08.0870505Z  * [new tag]                 trunk/56c828bef93eada0e18d2cc013207831ca80cc99 -> trunk/56c828bef93eada0e18d2cc013207831ca80cc99
2025-08-14T21:18:08.0870712Z  * [new tag]                 trunk/5737372862253a0ac0292407a5844796f02380ad -> trunk/5737372862253a0ac0292407a5844796f02380ad
2025-08-14T21:18:08.0870936Z  * [new tag]                 trunk/57f738b6357cc8fcdde479a0948e723809a1a44d -> trunk/57f738b6357cc8fcdde479a0948e723809a1a44d
2025-08-14T21:18:08.0871159Z  * [new tag]                 trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 -> trunk/5a40c5784482255b9baf14086cc4b9349fc6d512
2025-08-14T21:18:08.0871390Z  * [new tag]                 trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 -> trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307
2025-08-14T21:18:08.0871676Z  * [new tag]                 trunk/5ace061254af71aa83d1baae81aa1864c9746add -> trunk/5ace061254af71aa83d1baae81aa1864c9746add
2025-08-14T21:18:08.0871906Z  * [new tag]                 trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f -> trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f
2025-08-14T21:18:08.0872308Z  * [new tag]                 trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf -> trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf
2025-08-14T21:18:08.0872657Z  * [new tag]                 trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a -> trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a
2025-08-14T21:18:08.0872964Z  * [new tag]                 trunk/5f5f508aa836a46dfe88857fb223049616b94e93 -> trunk/5f5f508aa836a46dfe88857fb223049616b94e93
2025-08-14T21:18:08.0873384Z  * [new tag]                 trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca -> trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca
2025-08-14T21:18:08.0875555Z  * [new tag]                 trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc -> trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc
2025-08-14T21:18:08.0875963Z  * [new tag]                 trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 -> trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62
2025-08-14T21:18:08.0876315Z  * [new tag]                 trunk/641ee7478150f26969968f49d8b358e199679a8a -> trunk/641ee7478150f26969968f49d8b358e199679a8a
2025-08-14T21:18:08.0876663Z  * [new tag]                 trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1
2025-08-14T21:18:08.0877342Z  * [new tag]                 trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 -> trunk/652a6f5954d039d61dc6e6575ccf89d385d74537
2025-08-14T21:18:08.0877608Z  * [new tag]                 trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 -> trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14
2025-08-14T21:18:08.0877846Z  * [new tag]                 trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c -> trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c
2025-08-14T21:18:08.0878249Z  * [new tag]                 trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f -> trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f
2025-08-14T21:18:08.0878678Z  * [new tag]                 trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 -> trunk/6be6d06295c870c77a6eb69f96b3170d983520d5
2025-08-14T21:18:08.0879581Z  * [new tag]                 trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49
2025-08-14T21:18:08.0880085Z  * [new tag]                 trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 -> trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66
2025-08-14T21:18:08.0880526Z  * [new tag]                 trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 -> trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7
2025-08-14T21:18:08.0882760Z  * [new tag]                 trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 -> trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58
2025-08-14T21:18:08.0883233Z  * [new tag]                 trunk/6ee175195ac7853734d64704171993cc6265eb38 -> trunk/6ee175195ac7853734d64704171993cc6265eb38
2025-08-14T21:18:08.0883698Z  * [new tag]                 trunk/6f0f4e0c3eacd479864319127915f869f64e1935 -> trunk/6f0f4e0c3eacd479864319127915f869f64e1935
2025-08-14T21:18:08.0884113Z  * [new tag]                 trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 -> trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8
2025-08-14T21:18:08.0884530Z  * [new tag]                 trunk/72009ec6bebca7714f99c18449183787f202af4d -> trunk/72009ec6bebca7714f99c18449183787f202af4d
2025-08-14T21:18:08.0884828Z  * [new tag]                 trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 -> trunk/731ee31f7b6ba19307daab323f6196172b71aaf8
2025-08-14T21:18:08.0885067Z  * [new tag]                 trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 -> trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59
2025-08-14T21:18:08.0885282Z  * [new tag]                 trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 -> trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41
2025-08-14T21:18:08.0885715Z  * [new tag]                 trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 -> trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4
2025-08-14T21:18:08.0886265Z  * [new tag]                 trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 -> trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299
2025-08-14T21:18:08.0887245Z  * [new tag]                 trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 -> trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114
2025-08-14T21:18:08.0887736Z  * [new tag]                 trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef -> trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef
2025-08-14T21:18:08.0888335Z  * [new tag]                 trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac -> trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac
2025-08-14T21:18:08.0888686Z  * [new tag]                 trunk/7e27347fd353928c99620495c8c531a5eba7d56b -> trunk/7e27347fd353928c99620495c8c531a5eba7d56b
2025-08-14T21:18:08.0889723Z  * [new tag]                 trunk/7e91394955721c77645fcdb75a5d47a255d65020 -> trunk/7e91394955721c77645fcdb75a5d47a255d65020
2025-08-14T21:18:08.0890572Z  * [new tag]                 trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 -> trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001
2025-08-14T21:18:08.0891156Z  * [new tag]                 trunk/7fbc22855c17741ae016992803b2e147a13aa22d -> trunk/7fbc22855c17741ae016992803b2e147a13aa22d
2025-08-14T21:18:08.0891710Z  * [new tag]                 trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 -> trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348
2025-08-14T21:18:08.0892333Z  * [new tag]                 trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 -> trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2
2025-08-14T21:18:08.0892773Z  * [new tag]                 trunk/80cca8307943ba64168208b54028f55b2c71daff -> trunk/80cca8307943ba64168208b54028f55b2c71daff
2025-08-14T21:18:08.0894069Z  * [new tag]                 trunk/8147370733bbdcd034cad54e9212e51885a11892 -> trunk/8147370733bbdcd034cad54e9212e51885a11892
2025-08-14T21:18:08.0894325Z  * [new tag]                 trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 -> trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26
2025-08-14T21:18:08.0894745Z  * [new tag]                 trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 -> trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654
2025-08-14T21:18:08.0895570Z  * [new tag]                 trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f -> trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f
2025-08-14T21:18:08.0896007Z  * [new tag]                 trunk/85db508af533649d0b3447ff3f0d5fe083150c84 -> trunk/85db508af533649d0b3447ff3f0d5fe083150c84
2025-08-14T21:18:08.0896401Z  * [new tag]                 trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a -> trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a
2025-08-14T21:18:08.0897341Z  * [new tag]                 trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 -> trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367
2025-08-14T21:18:08.0897794Z  * [new tag]                 trunk/89654db1abccf7e5f261989a150db4d1619ea2aa -> trunk/89654db1abccf7e5f261989a150db4d1619ea2aa
2025-08-14T21:18:08.0898301Z  * [new tag]                 trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 -> trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1
2025-08-14T21:18:08.0898934Z  * [new tag]                 trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d -> trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d
2025-08-14T21:18:08.0899517Z  * [new tag]                 trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 -> trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6
2025-08-14T21:18:08.0900102Z  * [new tag]                 trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 -> trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0
2025-08-14T21:18:08.0900751Z  * [new tag]                 trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 -> trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4
2025-08-14T21:18:08.0901321Z  * [new tag]                 trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d -> trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d
2025-08-14T21:18:08.0902365Z  * [new tag]                 trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 -> trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1
2025-08-14T21:18:08.0902660Z  * [new tag]                 trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 -> trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347
2025-08-14T21:18:08.0903283Z  * [new tag]                 trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75
2025-08-14T21:18:08.0903872Z  * [new tag]                 trunk/8e6a3138581152ab827a0997f34c470271399f5e -> trunk/8e6a3138581152ab827a0997f34c470271399f5e
2025-08-14T21:18:08.0904415Z  * [new tag]                 trunk/8eee08d2279b98af2522debb6512d37e837e89e3 -> trunk/8eee08d2279b98af2522debb6512d37e837e89e3
2025-08-14T21:18:08.0905003Z  * [new tag]                 trunk/90b78ee50f73b5c963996076a3d54b74b1b965be -> trunk/90b78ee50f73b5c963996076a3d54b74b1b965be
2025-08-14T21:18:08.0905523Z  * [new tag]                 trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 -> trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6
2025-08-14T21:18:08.0906533Z  * [new tag]                 trunk/95210cc409dd578988c7116b47725c304dea54c7 -> trunk/95210cc409dd578988c7116b47725c304dea54c7
2025-08-14T21:18:08.0906752Z  * [new tag]                 trunk/96bd33b2de79598566df395f32e27c4d33673f05 -> trunk/96bd33b2de79598566df395f32e27c4d33673f05
2025-08-14T21:18:08.0907761Z  * [new tag]                 trunk/9708fcf92db88b80b9010c68662d634434da3106 -> trunk/9708fcf92db88b80b9010c68662d634434da3106
2025-08-14T21:18:08.0908158Z  * [new tag]                 trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 -> trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8
2025-08-14T21:18:08.0908836Z  * [new tag]                 trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 -> trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8
2025-08-14T21:18:08.0909391Z  * [new tag]                 trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd -> trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd
2025-08-14T21:18:08.0909787Z  * [new tag]                 trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd -> trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd
2025-08-14T21:18:08.0910710Z  * [new tag]                 trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 -> trunk/9a0f7a3bb01b235ea04581ee540970a098071b72
2025-08-14T21:18:08.0910938Z  * [new tag]                 trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 -> trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8
2025-08-14T21:18:08.0912041Z  * [new tag]                 trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df -> trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df
2025-08-14T21:18:08.0912318Z  * [new tag]                 trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc -> trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc
2025-08-14T21:18:08.0913273Z  * [new tag]                 trunk/9e07673deb212c87b1c6fea23799a97474c476ed -> trunk/9e07673deb212c87b1c6fea23799a97474c476ed
2025-08-14T21:18:08.0913495Z  * [new tag]                 trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 -> trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09
2025-08-14T21:18:08.0914129Z  * [new tag]                 trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 -> trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674
2025-08-14T21:18:08.0914757Z  * [new tag]                 trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 -> trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715
2025-08-14T21:18:08.0915317Z  * [new tag]                 trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 -> trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69
2025-08-14T21:18:08.0915913Z  * [new tag]                 trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c -> trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c
2025-08-14T21:18:08.0916822Z  * [new tag]                 trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 -> trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600
2025-08-14T21:18:08.0917058Z  * [new tag]                 trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b -> trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b
2025-08-14T21:18:08.0917968Z  * [new tag]                 trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae -> trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae
2025-08-14T21:18:08.0918260Z  * [new tag]                 trunk/a5652407e4f3d772fc44486ac2abf756decf0861 -> trunk/a5652407e4f3d772fc44486ac2abf756decf0861
2025-08-14T21:18:08.0919331Z  * [new tag]                 trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b -> trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b
2025-08-14T21:18:08.0919728Z  * [new tag]                 trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 -> trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332
2025-08-14T21:18:08.0920345Z  * [new tag]                 trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 -> trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883
2025-08-14T21:18:08.0921034Z  * [new tag]                 trunk/adcca7d9a1c053495e99012de801b2ea237faad0 -> trunk/adcca7d9a1c053495e99012de801b2ea237faad0
2025-08-14T21:18:08.0921589Z  * [new tag]                 trunk/af10f1f86cc4effc93142a447693d8be55966615 -> trunk/af10f1f86cc4effc93142a447693d8be55966615
2025-08-14T21:18:08.0922229Z  * [new tag]                 trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c -> trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c
2025-08-14T21:18:08.0922819Z  * [new tag]                 trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 -> trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107
2025-08-14T21:18:08.0923601Z  * [new tag]                 trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 -> trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5
2025-08-14T21:18:08.0924087Z  * [new tag]                 trunk/b1a602762e6a6674b406a3137e7e7a678885a97b -> trunk/b1a602762e6a6674b406a3137e7e7a678885a97b
2025-08-14T21:18:08.0924706Z  * [new tag]                 trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc -> trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc
2025-08-14T21:18:08.0925348Z  * [new tag]                 trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 -> trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753
2025-08-14T21:18:08.0925893Z  * [new tag]                 trunk/b4596895b9d85a686c2cb978938b0a7797b3690a -> trunk/b4596895b9d85a686c2cb978938b0a7797b3690a
2025-08-14T21:18:08.0926521Z  * [new tag]                 trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 -> trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02
2025-08-14T21:18:08.0927325Z  * [new tag]                 trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf -> trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf
2025-08-14T21:18:08.0927963Z  * [new tag]                 trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 -> trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64
2025-08-14T21:18:08.0928549Z  * [new tag]                 trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 -> trunk/b7db86600a2614adc71c92ca42d359a7ac534d78
2025-08-14T21:18:08.0929113Z  * [new tag]                 trunk/b9003ed3d87699e81e436719625a21996a6654e5 -> trunk/b9003ed3d87699e81e436719625a21996a6654e5
2025-08-14T21:18:08.0929859Z  * [new tag]                 trunk/b90feeac86bda00afc2789321bcd706015ff44e3 -> trunk/b90feeac86bda00afc2789321bcd706015ff44e3
2025-08-14T21:18:08.0931208Z  * [new tag]                 trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8
2025-08-14T21:18:08.0931872Z  * [new tag]                 trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 -> trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4
2025-08-14T21:18:08.0932170Z  * [new tag]                 trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 -> trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491
2025-08-14T21:18:08.0932900Z  * [new tag]                 trunk/bcf23ecc476df2bd7479f142567213e2623308ee -> trunk/bcf23ecc476df2bd7479f142567213e2623308ee
2025-08-14T21:18:08.0933500Z  * [new tag]                 trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff -> trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff
2025-08-14T21:18:08.0934097Z  * [new tag]                 trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 -> trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941
2025-08-14T21:18:08.0934747Z  * [new tag]                 trunk/bfc873d02ec413344717493e4175a902921359fd -> trunk/bfc873d02ec413344717493e4175a902921359fd
2025-08-14T21:18:08.0935434Z  * [new tag]                 trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca -> trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca
2025-08-14T21:18:08.0936047Z  * [new tag]                 trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 -> trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431
2025-08-14T21:18:08.0936635Z  * [new tag]                 trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 -> trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4
2025-08-14T21:18:08.0937252Z  * [new tag]                 trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 -> trunk/c5ec5458a547f7a774468ea0eb2258d3de596492
2025-08-14T21:18:08.0937844Z  * [new tag]                 trunk/c5efc5c8a66eca84865015058b3221013ebfe685 -> trunk/c5efc5c8a66eca84865015058b3221013ebfe685
2025-08-14T21:18:08.0938640Z  * [new tag]                 trunk/c6563341208003f64c131854a9cf029555f786d2 -> trunk/c6563341208003f64c131854a9cf029555f786d2
2025-08-14T21:18:08.0939037Z  * [new tag]                 trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e -> trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e
2025-08-14T21:18:08.0939665Z  * [new tag]                 trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 -> trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23
2025-08-14T21:18:08.0940519Z  * [new tag]                 trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 -> trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5
2025-08-14T21:18:08.0941131Z  * [new tag]                 trunk/c86040a8e68f754b90a84099187d3624954c7f36 -> trunk/c86040a8e68f754b90a84099187d3624954c7f36
2025-08-14T21:18:08.0941644Z  * [new tag]                 trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 -> trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4
2025-08-14T21:18:08.0942917Z  * [new tag]                 trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 -> trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9
2025-08-14T21:18:08.0943176Z  * [new tag]                 trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff -> trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff
2025-08-14T21:18:08.0944089Z  * [new tag]                 trunk/cbffde774557752cf20447d42d99ec6102673c31 -> trunk/cbffde774557752cf20447d42d99ec6102673c31
2025-08-14T21:18:08.0944454Z  * [new tag]                 trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc -> trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc
2025-08-14T21:18:08.0945152Z  * [new tag]                 trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf -> trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf
2025-08-14T21:18:08.0945701Z  * [new tag]                 trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 -> trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81
2025-08-14T21:18:08.0946711Z  * [new tag]                 trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 -> trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0
2025-08-14T21:18:08.0947147Z  * [new tag]                 trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 -> trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2
2025-08-14T21:18:08.0947724Z  * [new tag]                 trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 -> trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3
2025-08-14T21:18:08.0948357Z  * [new tag]                 trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c -> trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c
2025-08-14T21:18:08.0949008Z  * [new tag]                 trunk/d3d359dbafa89173a371e2637f22b47398e94a24 -> trunk/d3d359dbafa89173a371e2637f22b47398e94a24
2025-08-14T21:18:08.0949634Z  * [new tag]                 trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 -> trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1
2025-08-14T21:18:08.0950443Z  * [new tag]                 trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f -> trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f
2025-08-14T21:18:08.0950941Z  * [new tag]                 trunk/d556586448f3caab85673c7da0978fe31c7748f7 -> trunk/d556586448f3caab85673c7da0978fe31c7748f7
2025-08-14T21:18:08.0951854Z  * [new tag]                 trunk/d670304001429a1a833255a918ed788d7ec4989a -> trunk/d670304001429a1a833255a918ed788d7ec4989a
2025-08-14T21:18:08.0952169Z  * [new tag]                 trunk/d6786741a77aba200c78002646cc069b7a1799b0 -> trunk/d6786741a77aba200c78002646cc069b7a1799b0
2025-08-14T21:18:08.0953320Z  * [new tag]                 trunk/d68c323692dedcbb74e670801e3502944fd790ff -> trunk/d68c323692dedcbb74e670801e3502944fd790ff
2025-08-14T21:18:08.0953558Z  * [new tag]                 trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c -> trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c
2025-08-14T21:18:08.0954176Z  * [new tag]                 trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd -> trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd
2025-08-14T21:18:08.0957280Z  * [new tag]                 trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 -> trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35
2025-08-14T21:18:08.0957511Z  * [new tag]                 trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 -> trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4
2025-08-14T21:18:08.0957727Z  * [new tag]                 trunk/db763b17175553ba09637362eb9773a91997a7ad -> trunk/db763b17175553ba09637362eb9773a91997a7ad
2025-08-14T21:18:08.0957942Z  * [new tag]                 trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f -> trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f
2025-08-14T21:18:08.0958178Z  * [new tag]                 trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd -> trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd
2025-08-14T21:18:08.0958397Z  * [new tag]                 trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 -> trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8
2025-08-14T21:18:08.0958619Z  * [new tag]                 trunk/deea71a90e05eb320c04bebfead5317746637f0d -> trunk/deea71a90e05eb320c04bebfead5317746637f0d
2025-08-14T21:18:08.0962320Z  * [new tag]                 trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 -> trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948
2025-08-14T21:18:08.0962544Z  * [new tag]                 trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df -> trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df
2025-08-14T21:18:08.0962767Z  * [new tag]                 trunk/e248719ac03c103767ab72034f6b9fd56855bf98 -> trunk/e248719ac03c103767ab72034f6b9fd56855bf98
2025-08-14T21:18:08.0962985Z  * [new tag]                 trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 -> trunk/e49762026070f66be41bfa6537fbcf9bfc24e558
2025-08-14T21:18:08.0963207Z  * [new tag]                 trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 -> trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168
2025-08-14T21:18:08.0963449Z  * [new tag]                 trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f -> trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f
2025-08-14T21:18:08.0963765Z  * [new tag]                 trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 -> trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58
2025-08-14T21:18:08.0963990Z  * [new tag]                 trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 -> trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3
2025-08-14T21:18:08.0968220Z  * [new tag]                 trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a -> trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a
2025-08-14T21:18:08.0968554Z  * [new tag]                 trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c -> trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c
2025-08-14T21:18:08.0968888Z  * [new tag]                 trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 -> trunk/eac2d9d695a32dd456050f45cac35134ec3809f4
2025-08-14T21:18:08.0969237Z  * [new tag]                 trunk/ecde76c764752540edf9ef62a97936c86d984b17 -> trunk/ecde76c764752540edf9ef62a97936c86d984b17
2025-08-14T21:18:08.0969586Z  * [new tag]                 trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b -> trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b
2025-08-14T21:18:08.0973845Z  * [new tag]                 trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb -> trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb
2025-08-14T21:18:08.0975338Z  * [new tag]                 trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 -> trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2
2025-08-14T21:18:08.0975587Z  * [new tag]                 trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e -> trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e
2025-08-14T21:18:08.0976022Z  * [new tag]                 trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c -> trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c
2025-08-14T21:18:08.0976251Z  * [new tag]                 trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c -> trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c
2025-08-14T21:18:08.0976616Z  * [new tag]                 trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 -> trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76
2025-08-14T21:18:08.0979268Z  * [new tag]                 trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 -> trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94
2025-08-14T21:18:08.0979676Z  * [new tag]                 trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 -> trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35
2025-08-14T21:18:08.0980057Z  * [new tag]                 trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 -> trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640
2025-08-14T21:18:08.0980416Z  * [new tag]                 trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 -> trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5
2025-08-14T21:18:08.0980675Z  * [new tag]                 trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc -> trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc
2025-08-14T21:18:08.0980921Z  * [new tag]                 trunk/f341077ce4710172da20cfad916ee37159bfe9fe -> trunk/f341077ce4710172da20cfad916ee37159bfe9fe
2025-08-14T21:18:08.0981163Z  * [new tag]                 trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 -> trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7
2025-08-14T21:18:08.0981401Z  * [new tag]                 trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c -> trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c
2025-08-14T21:18:08.0981628Z  * [new tag]                 trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 -> trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457
2025-08-14T21:18:08.0981858Z  * [new tag]                 trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 -> trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344
2025-08-14T21:18:08.0982074Z  * [new tag]                 trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 -> trunk/f8f0414a5983ff481a2188e0c18594150430c8c5
2025-08-14T21:18:08.0982298Z  * [new tag]                 trunk/f95b58c2844b3444cd8446fed8570729dc4216eb -> trunk/f95b58c2844b3444cd8446fed8570729dc4216eb
2025-08-14T21:18:08.0982525Z  * [new tag]                 trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d -> trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d
2025-08-14T21:18:08.0982758Z  * [new tag]                 trunk/fb887c3bb588cfe782615e67f6c26db636b8539b -> trunk/fb887c3bb588cfe782615e67f6c26db636b8539b
2025-08-14T21:18:08.0983132Z  * [new tag]                 trunk/fc25c68f20f772290927a7031b998b92615259cf -> trunk/fc25c68f20f772290927a7031b998b92615259cf
2025-08-14T21:18:08.0983361Z  * [new tag]                 trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb -> trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb
2025-08-14T21:18:08.0983597Z  * [new tag]                 trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb
2025-08-14T21:18:08.0983831Z  * [new tag]                 trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 -> trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08
2025-08-14T21:18:08.0984067Z  * [new tag]                 trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab -> trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab
2025-08-14T21:18:08.0984300Z  * [new tag]                 trunk/ff0d56d03592aa03f3ced8359241d21df1783393 -> trunk/ff0d56d03592aa03f3ced8359241d21df1783393
2025-08-14T21:18:08.0988775Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-08-14T21:18:08.0989473Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-08-14T21:18:08.0989778Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-08-14T21:18:08.0989972Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-08-14T21:18:08.0990121Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-08-14T21:18:08.0990332Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-08-14T21:18:08.0990603Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-08-14T21:18:08.0991159Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-08-14T21:18:08.0991291Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-08-14T21:18:08.0991384Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-08-14T21:18:08.0991481Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-08-14T21:18:08.0991589Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-08-14T21:18:08.0991678Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-08-14T21:18:08.0991781Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-08-14T21:18:08.0991873Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-08-14T21:18:08.0991973Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-08-14T21:18:08.0992066Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-08-14T21:18:08.0992163Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-08-14T21:18:08.0997158Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-08-14T21:18:08.0997439Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-08-14T21:18:08.0997586Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-08-14T21:18:08.0997694Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-08-14T21:18:08.0997784Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-08-14T21:18:08.0997892Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-08-14T21:18:08.0998159Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-08-14T21:18:08.0998286Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-08-14T21:18:08.0998381Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-08-14T21:18:08.0998477Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-08-14T21:18:08.0998587Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-08-14T21:18:08.0998683Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-08-14T21:18:08.0998770Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-08-14T21:18:08.0998872Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-08-14T21:18:08.1003454Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-08-14T21:18:08.1003749Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-08-14T21:18:08.1003974Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-08-14T21:18:08.1004082Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-08-14T21:18:08.1004180Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-08-14T21:18:08.1004288Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-08-14T21:18:08.1004767Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-08-14T21:18:08.1005328Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-08-14T21:18:08.1005469Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-08-14T21:18:08.1005613Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-08-14T21:18:08.1005747Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-08-14T21:18:08.1005843Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-08-14T21:18:08.1005949Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-08-14T21:18:08.1006046Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-08-14T21:18:08.1006139Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-08-14T21:18:08.1006245Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-08-14T21:18:08.1006488Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-08-14T21:18:08.1006628Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-08-14T21:18:08.1007649Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-08-14T21:18:08.1007946Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-08-14T21:18:08.1008901Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-08-14T21:18:08.1009181Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-08-14T21:18:08.1009690Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-08-14T21:18:08.1010419Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-08-14T21:18:08.1010870Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-08-14T21:18:08.1011788Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-08-14T21:18:08.1011980Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-08-14T21:18:08.1013980Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-08-14T21:18:08.1014114Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-08-14T21:18:08.1014212Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-08-14T21:18:08.1014350Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-08-14T21:18:08.1014619Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-08-14T21:18:08.1014999Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-08-14T21:18:08.1016220Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-08-14T21:18:08.1016342Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-08-14T21:18:08.1016605Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-08-14T21:18:08.1017415Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-08-14T21:18:08.1017708Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-08-14T21:18:08.1018119Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-08-14T21:18:08.1018469Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-08-14T21:18:08.1020817Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-08-14T21:18:08.1021133Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-08-14T21:18:08.1021248Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-08-14T21:18:08.1021345Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-08-14T21:18:08.1021764Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-08-14T21:18:08.1022096Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-08-14T21:18:08.1022851Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-08-14T21:18:08.1022985Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-08-14T21:18:08.1026859Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-08-14T21:18:08.1026996Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-08-14T21:18:08.1027109Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-08-14T21:18:08.1027221Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-08-14T21:18:08.1027325Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-08-14T21:18:08.1027418Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-08-14T21:18:08.1027516Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-08-14T21:18:08.1027615Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-08-14T21:18:08.1027942Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-08-14T21:18:08.1030532Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-08-14T21:18:08.1030833Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-08-14T21:18:08.1031020Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-08-14T21:18:08.1031133Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-08-14T21:18:08.1031320Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-08-14T21:18:08.1031439Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-08-14T21:18:08.1032386Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-08-14T21:18:08.1032518Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-08-14T21:18:08.1033071Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-08-14T21:18:08.1033360Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-08-14T21:18:08.1034174Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-08-14T21:18:08.1034382Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-08-14T21:18:08.1037420Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-08-14T21:18:08.1037553Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-08-14T21:18:08.1037663Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-08-14T21:18:08.1037779Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-08-14T21:18:08.1037874Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-08-14T21:18:08.1037975Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-08-14T21:18:08.1038474Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-08-14T21:18:08.1038780Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-08-14T21:18:08.1041383Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-08-14T21:18:08.1041688Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-08-14T21:18:08.1041868Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-08-14T21:18:08.1041982Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-08-14T21:18:08.1042153Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-08-14T21:18:08.1042510Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-08-14T21:18:08.1042621Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-08-14T21:18:08.1043303Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-08-14T21:18:08.1043670Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-08-14T21:18:08.1046212Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-08-14T21:18:08.1046346Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-08-14T21:18:08.1046473Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-08-14T21:18:08.1046566Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-08-14T21:18:08.1046673Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-08-14T21:18:08.1047048Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-08-14T21:18:08.1047591Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-08-14T21:18:08.1048518Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-08-14T21:18:08.1048797Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-08-14T21:18:08.1048964Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-08-14T21:18:08.1049764Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-08-14T21:18:08.1053256Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-08-14T21:18:08.1053394Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-08-14T21:18:08.1053676Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-08-14T21:18:08.1053782Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-08-14T21:18:08.1053965Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-08-14T21:18:08.1054077Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-08-14T21:18:08.1054311Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-08-14T21:18:08.1055089Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-08-14T21:18:08.1055524Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-08-14T21:18:08.1056271Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-08-14T21:18:08.1056716Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-08-14T21:18:08.1057512Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-08-14T21:18:08.1057776Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-08-14T21:18:08.1058407Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-08-14T21:18:08.1058781Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-08-14T21:18:08.1062876Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-08-14T21:18:08.1063028Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-08-14T21:18:08.1063130Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-08-14T21:18:08.1063374Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-08-14T21:18:08.1063479Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-08-14T21:18:08.1063574Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-08-14T21:18:08.1063672Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-08-14T21:18:08.1063773Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-08-14T21:18:08.1063891Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-08-14T21:18:08.1064823Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-08-14T21:18:08.1064941Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-08-14T21:18:08.1065493Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-08-14T21:18:08.1067824Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-08-14T21:18:08.1067978Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-08-14T21:18:08.1068082Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-08-14T21:18:08.1068188Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-08-14T21:18:08.1068296Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-08-14T21:18:08.1073844Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-08-14T21:18:08.1073996Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-08-14T21:18:08.1074097Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-08-14T21:18:08.1074212Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-08-14T21:18:08.1074314Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-08-14T21:18:08.1074430Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-08-14T21:18:08.1075358Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-08-14T21:18:08.1075553Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-08-14T21:18:08.1075675Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-08-14T21:18:08.1075769Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-08-14T21:18:08.1075984Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-08-14T21:18:08.1076297Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-08-14T21:18:08.1076516Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-08-14T21:18:08.1076617Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-08-14T21:18:08.1076819Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-08-14T21:18:08.1081671Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-08-14T21:18:08.1081973Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-08-14T21:18:08.1082182Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-08-14T21:18:08.1082299Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-08-14T21:18:08.1082476Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-08-14T21:18:08.1082592Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-08-14T21:18:08.1082780Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-08-14T21:18:08.1082894Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-08-14T21:18:08.1083072Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-08-14T21:18:08.1083176Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-08-14T21:18:08.1083286Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-08-14T21:18:08.1083380Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-08-14T21:18:08.1083477Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-08-14T21:18:08.1083581Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-08-14T21:18:08.1083689Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-08-14T21:18:08.1084112Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-08-14T21:18:08.1085182Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-08-14T21:18:08.1085850Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-08-14T21:18:08.1086063Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-08-14T21:18:08.1087354Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-08-14T21:18:08.1087492Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-08-14T21:18:08.1087731Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-08-14T21:18:08.1088646Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-08-14T21:18:08.1088918Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-08-14T21:18:08.1089870Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-08-14T21:18:08.1090134Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-08-14T21:18:08.1091255Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-08-14T21:18:08.1091463Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-08-14T21:18:08.1092490Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-08-14T21:18:08.1092836Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-08-14T21:18:08.1093307Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-08-14T21:18:08.1093836Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-08-14T21:18:08.1094123Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-08-14T21:18:08.1095157Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-08-14T21:18:08.1098078Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-08-14T21:18:08.1098575Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-08-14T21:18:08.1098714Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-08-14T21:18:08.1098933Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-08-14T21:18:08.1099041Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-08-14T21:18:08.1103899Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-08-14T21:18:08.1104057Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-08-14T21:18:08.1104182Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-08-14T21:18:08.1104302Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-08-14T21:18:08.1104414Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-08-14T21:18:08.1104522Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-08-14T21:18:08.1104634Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-08-14T21:18:08.1104727Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-08-14T21:18:08.1104855Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-08-14T21:18:08.1104948Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-08-14T21:18:08.1109275Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-08-14T21:18:08.1109425Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-08-14T21:18:08.1109544Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-08-14T21:18:08.1109655Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-08-14T21:18:08.1109758Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-08-14T21:18:08.1113978Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-08-14T21:18:08.1114126Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-08-14T21:18:08.1114231Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-08-14T21:18:08.1114360Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-08-14T21:18:08.1114458Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-08-14T21:18:08.1114566Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-08-14T21:18:08.1114672Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-08-14T21:18:08.1114775Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-08-14T21:18:08.1115027Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-08-14T21:18:08.1115122Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-08-14T21:18:08.1115217Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-08-14T21:18:08.1115324Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-08-14T21:18:08.1115421Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-08-14T21:18:08.1115512Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-08-14T21:18:08.1121270Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-08-14T21:18:08.1121410Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-08-14T21:18:08.1121525Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-08-14T21:18:08.1587975Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object}
2025-08-14T21:18:08.1621055Z 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:18:08.1629394Z ##[endgroup]
2025-08-14T21:18:08.1629717Z ##[group]Determining the checkout info
2025-08-14T21:18:08.1630048Z ##[endgroup]
2025-08-14T21:18:08.1633854Z [command]/usr/bin/git sparse-checkout disable
2025-08-14T21:18:08.1675556Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-08-14T21:18:08.1705194Z ##[group]Checking out the ref
2025-08-14T21:18:08.1709818Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:18:09.1665593Z Note: switching to '1fc683cf17c8c673044538d10266c00f92987be2'.
2025-08-14T21:18:09.1665869Z 
2025-08-14T21:18:09.1666073Z You are in 'detached HEAD' state. You can look around, make experimental
2025-08-14T21:18:09.1666479Z changes and commit them, and you can discard any commits you make in this
2025-08-14T21:18:09.1666832Z state without impacting any branches by switching back to a branch.
2025-08-14T21:18:09.1667051Z 
2025-08-14T21:18:09.1667192Z If you want to create a new branch to retain commits you create, you may
2025-08-14T21:18:09.1667495Z do so (now or later) by using -c with the switch command. Example:
2025-08-14T21:18:09.1667659Z 
2025-08-14T21:18:09.1667748Z   git switch -c <new-branch-name>
2025-08-14T21:18:09.1667870Z 
2025-08-14T21:18:09.1667951Z Or undo this operation with:
2025-08-14T21:18:09.1668063Z 
2025-08-14T21:18:09.1668125Z   git switch -
2025-08-14T21:18:09.1668221Z 
2025-08-14T21:18:09.1668364Z Turn off this advice by setting config variable advice.detachedHead to false
2025-08-14T21:18:09.1668562Z 
2025-08-14T21:18:09.1668794Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645)
2025-08-14T21:18:09.1713299Z ##[endgroup]
2025-08-14T21:18:09.1713759Z ##[group]Setting up auth for fetching submodules
2025-08-14T21:18:09.1724785Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-14T21:18:09.1792856Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-08-14T21:18:09.1825605Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-08-14T21:18:09.1857326Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-08-14T21:18:09.1888187Z ##[endgroup]
2025-08-14T21:18:09.1888505Z ##[group]Fetching submodules
2025-08-14T21:18:09.1888744Z [command]/usr/bin/git submodule sync --recursive
2025-08-14T21:18:09.2220748Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-08-14T21:18:09.2548622Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-08-14T21:18:09.2549411Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-08-14T21:18:09.2550421Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-08-14T21:18:09.2551078Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-08-14T21:18:09.2551673Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-08-14T21:18:09.2552515Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-08-14T21:18:09.2554451Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-08-14T21:18:09.2556179Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-08-14T21:18:09.2558016Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-08-14T21:18:09.2560003Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-08-14T21:18:09.2561866Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-08-14T21:18:09.2565140Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-08-14T21:18:09.2566519Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-08-14T21:18:09.2576770Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-08-14T21:18:09.2577337Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-08-14T21:18:09.3135160Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-08-14T21:18:09.3136057Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-08-14T21:18:09.3136610Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-08-14T21:18:09.3137137Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-08-14T21:18:09.3137698Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-08-14T21:18:09.3138368Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-08-14T21:18:09.3143093Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-08-14T21:18:09.3143807Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-08-14T21:18:09.3146036Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-08-14T21:18:09.3149677Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-08-14T21:18:09.3150409Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-08-14T21:18:09.3153339Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-08-14T21:18:09.3156005Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-08-14T21:18:09.3158871Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-08-14T21:18:09.3161629Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-08-14T21:18:09.3165383Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-08-14T21:18:09.3169406Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-08-14T21:18:09.3196758Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-08-14T21:18:09.3201375Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-08-14T21:18:09.3202982Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-08-14T21:18:09.3203666Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-08-14T21:18:09.3204401Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2025-08-14T21:18:09.3239538Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2025-08-14T21:18:09.5562437Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-08-14T21:18:09.5562953Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-08-14T21:18:09.5570767Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-08-14T21:18:09.5596566Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-08-14T21:18:09.8358054Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-08-14T21:18:09.8358581Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-08-14T21:18:09.8359106Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-08-14T21:18:09.8359637Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-08-14T21:18:09.8360074Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-08-14T21:18:09.8360529Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-08-14T21:18:09.8361022Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-08-14T21:18:09.8361500Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-08-14T21:18:09.8361924Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-08-14T21:18:09.8362544Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-08-14T21:18:09.8854685Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-08-14T21:18:10.0082165Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-08-14T21:18:10.0082735Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-08-14T21:18:10.0382110Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-08-14T21:18:10.9996275Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-08-14T21:18:10.9997136Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-08-14T21:18:10.9997930Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-08-14T21:18:10.9998685Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-08-14T21:18:10.9999157Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-08-14T21:18:10.9999629Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-08-14T21:18:11.0215078Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-08-14T21:18:22.6881414Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-08-14T21:18:22.6883270Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-08-14T21:18:22.6883692Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-08-14T21:18:22.6884141Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-08-14T21:18:22.6884514Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-08-14T21:18:22.6884888Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-08-14T21:18:22.6885294Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-08-14T21:18:22.6885716Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-08-14T21:18:22.6886117Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
2025-08-14T21:18:22.6886530Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2025-08-14T21:18:22.6886916Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2025-08-14T21:18:22.7014196Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-08-14T21:18:22.7128002Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-08-14T21:18:22.7216251Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-08-14T21:18:22.7423652Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-08-14T21:18:22.8098971Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07'
2025-08-14T21:18:22.8569837Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-08-14T21:18:23.4007901Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-08-14T21:18:23.5284242Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-08-14T21:18:23.5299097Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T21:18:23.5327957Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-08-14T21:18:26.8858394Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-08-14T21:18:26.9056526Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-08-14T21:18:27.1452278Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-08-14T21:18:27.1902554Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c'
2025-08-14T21:18:27.2745071Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d'
2025-08-14T21:18:27.3132754Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6'
2025-08-14T21:18:27.8249870Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491'
2025-08-14T21:18:27.9380737Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067'
2025-08-14T21:18:27.9398869Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-08-14T21:18:27.9399564Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-08-14T21:18:27.9400654Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-08-14T21:18:27.9401241Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-08-14T21:18:27.9401998Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-08-14T21:18:27.9405011Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-08-14T21:18:27.9405846Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-08-14T21:18:27.9439667Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-08-14T21:18:29.1900569Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-08-14T21:18:29.1901187Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-08-14T21:18:29.1901715Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-08-14T21:18:29.1902264Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-08-14T21:18:29.2904666Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-08-14T21:18:30.2414079Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-08-14T21:18:34.4044735Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-08-14T21:18:34.6033992Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9'
2025-08-14T21:18:34.6932730Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-08-14T21:18:35.2146064Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad'
2025-08-14T21:18:35.2558017Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-08-14T21:18:35.2681385Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c'
2025-08-14T21:18:35.3564276Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-08-14T21:18:35.4140650Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-08-14T21:18:35.4156244Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-08-14T21:18:35.4157046Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-08-14T21:18:35.4183540Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-08-14T21:18:38.5376850Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-08-14T21:18:38.7245687Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-08-14T21:18:39.2063785Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-08-14T21:18:39.3188445Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-08-14T21:18:39.3486228Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-08-14T21:18:39.3836012Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-08-14T21:18:39.4064725Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2'
2025-08-14T21:18:39.4481013Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-08-14T21:18:39.4609584Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-08-14T21:18:39.4627252Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-08-14T21:18:39.4652151Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-08-14T21:18:50.9113047Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-08-14T21:18:50.9290322Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-08-14T21:18:51.0117760Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658'
2025-08-14T21:18:51.0136187Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T21:18:51.0138009Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T21:18:51.0139072Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T21:18:51.0170867Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-08-14T21:18:51.6418382Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-08-14T21:18:52.2812634Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-08-14T21:18:52.3506936Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e'
2025-08-14T21:18:52.3521440Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T21:18:52.3525590Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-14T21:18:52.3526420Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T21:18:52.3527178Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T21:18:52.3527879Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T21:18:52.3528621Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T21:18:52.3529370Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T21:18:52.3530165Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T21:18:52.3556867Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-08-14T21:18:53.6005779Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-08-14T21:18:53.6006790Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-08-14T21:18:53.6007419Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-08-14T21:18:53.6008046Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-08-14T21:18:53.6008706Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-08-14T21:18:53.6073058Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-08-14T21:18:53.7080400Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-08-14T21:19:00.2984354Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-08-14T21:19:00.3140556Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-08-14T21:19:00.3454345Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-08-14T21:19:00.3586565Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-08-14T21:19:00.3599090Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T21:19:00.3622676Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-08-14T21:19:00.8698604Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-08-14T21:19:00.8864858Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-08-14T21:19:00.9222900Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850'
2025-08-14T21:19:01.0058232Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-08-14T21:19:01.0213035Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-08-14T21:19:01.0519651Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164'
2025-08-14T21:19:01.1036698Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347'
2025-08-14T21:19:01.1406328Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7'
2025-08-14T21:19:01.1743879Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-08-14T21:19:01.2709469Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-08-14T21:19:01.5803644Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-08-14T21:19:01.5833579Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-08-14T21:19:01.5858625Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-08-14T21:19:02.5824750Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-08-14T21:19:02.6373469Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-08-14T21:19:02.6395832Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T21:19:02.6400247Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T21:19:02.6401167Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T21:19:02.6401936Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T21:19:02.6402813Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T21:19:02.6403768Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T21:19:02.6404586Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T21:19:02.6405255Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T21:19:02.6439214Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-08-14T21:19:03.0812190Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-08-14T21:19:03.0815039Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-08-14T21:19:03.0815862Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-08-14T21:19:03.0816571Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-08-14T21:19:03.1812153Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-08-14T21:19:03.7195956Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-08-14T21:19:09.6431793Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-08-14T21:19:10.3341846Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-08-14T21:19:10.3690862Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-08-14T21:19:10.3848625Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-08-14T21:19:10.4735546Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-08-14T21:19:10.4859283Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-08-14T21:19:10.4995231Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-08-14T21:19:10.5131366Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-08-14T21:19:10.5147038Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T21:19:10.5148157Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T21:19:10.5176888Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-08-14T21:19:12.1459850Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-08-14T21:19:12.3599708Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-08-14T21:19:12.3998370Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-08-14T21:19:12.7205732Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-08-14T21:19:12.7321281Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-08-14T21:19:12.9528580Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-08-14T21:19:12.9548232Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-08-14T21:19:12.9556251Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-08-14T21:19:12.9581596Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2025-08-14T21:19:13.6083876Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2025-08-14T21:19:13.8924626Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-08-14T21:19:13.9550686Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-08-14T21:19:13.9644467Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-08-14T21:19:13.9756307Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-08-14T21:19:14.0078084Z Submodule path 'third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-08-14T21:19:14.0328823Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-08-14T21:19:14.0711366Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-08-14T21:19:14.0938713Z Submodule path 'third_party/tensorpipe': checked out 'dacda0567d9f23d4bc503e1c4f84aa65f33ac38a'
2025-08-14T21:19:14.0955721Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest'
2025-08-14T21:19:14.0957640Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop'
2025-08-14T21:19:14.0958455Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv'
2025-08-14T21:19:14.0963746Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T21:19:14.0986878Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'...
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2025-08-14T21:19:15.3012554Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
2025-08-14T21:19:15.3151453Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
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2025-08-14T21:19:15.4037773Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef'
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2025-08-14T21:19:15.4078222Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11/tools/clang'...
2025-08-14T21:19:15.6132241Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
2025-08-14T21:19:15.6174252Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
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2025-08-14T21:19:15.8852570Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
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2025-08-14T21:19:15.8974621Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T21:19:15.9016804Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T21:19:15.9056877Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
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2025-08-14T21:19:15.9755746Z ##[endgroup]
2025-08-14T21:19:15.9756093Z ##[group]Persisting credentials for submodules
2025-08-14T21:19:15.9763195Z [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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2025-08-14T21:19:16.2152181Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
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2025-08-14T21:19:16.2257779Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
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2025-08-14T21:19:16.2426320Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
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2025-08-14T21:19:16.2538668Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
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2025-08-14T21:19:16.2711576Z Entering 'third_party/kleidiai'
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2025-08-14T21:19:16.2945766Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-14T21:19:16.3000993Z Entering 'third_party/opentelemetry-cpp'
2025-08-14T21:19:16.3053041Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T21:19:16.3109544Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T21:19:16.3155470Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T21:19:16.3211016Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T21:19:16.3266949Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T21:19:16.3320333Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T21:19:16.3371296Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T21:19:16.3425915Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T21:19:16.3479135Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T21:19:16.3534987Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T21:19:16.3600025Z Entering 'third_party/pocketfft'
2025-08-14T21:19:16.3655045Z Entering 'third_party/protobuf'
2025-08-14T21:19:16.3708867Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-14T21:19:16.3763479Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T21:19:16.3820923Z Entering 'third_party/psimd'
2025-08-14T21:19:16.3871849Z Entering 'third_party/pthreadpool'
2025-08-14T21:19:16.3929397Z Entering 'third_party/pybind11'
2025-08-14T21:19:16.3984470Z Entering 'third_party/python-peachpy'
2025-08-14T21:19:16.4037400Z Entering 'third_party/sleef'
2025-08-14T21:19:16.4094394Z Entering 'third_party/tensorpipe'
2025-08-14T21:19:16.4146554Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T21:19:16.4202368Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T21:19:16.4252063Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T21:19:16.4307983Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T21:19:16.4355257Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T21:19:16.4432273Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
2025-08-14T21:19:16.4750102Z Entering 'android/libs/fbjni'
2025-08-14T21:19:16.4794264Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-08-14T21:19:16.4815279Z Entering 'third_party/FP16'
2025-08-14T21:19:16.4863404Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-08-14T21:19:16.4886266Z Entering 'third_party/FXdiv'
2025-08-14T21:19:16.4934223Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-08-14T21:19:16.4947295Z Entering 'third_party/NNPACK'
2025-08-14T21:19:16.4999046Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2025-08-14T21:19:16.5011100Z Entering 'third_party/NVTX'
2025-08-14T21:19:16.5059910Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config	remote.origin.url
2025-08-14T21:19:16.5080013Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-14T21:19:16.5125446Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2025-08-14T21:19:16.5146943Z Entering 'third_party/XNNPACK'
2025-08-14T21:19:16.5201339Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2025-08-14T21:19:16.5232109Z Entering 'third_party/aiter'
2025-08-14T21:19:16.5285393Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config	remote.origin.url
2025-08-14T21:19:16.5301812Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T21:19:16.5347996Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
2025-08-14T21:19:16.5373367Z Entering 'third_party/benchmark'
2025-08-14T21:19:16.5420101Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2025-08-14T21:19:16.5439877Z Entering 'third_party/composable_kernel'
2025-08-14T21:19:16.5490241Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
2025-08-14T21:19:16.5516698Z Entering 'third_party/cpp-httplib'
2025-08-14T21:19:16.5563562Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-08-14T21:19:16.5581554Z Entering 'third_party/cpuinfo'
2025-08-14T21:19:16.5628897Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2025-08-14T21:19:16.5647476Z Entering 'third_party/cudnn_frontend'
2025-08-14T21:19:16.5693990Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2025-08-14T21:19:16.5709348Z Entering 'third_party/cutlass'
2025-08-14T21:19:16.5756242Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-08-14T21:19:16.5778997Z Entering 'third_party/fbgemm'
2025-08-14T21:19:16.5827827Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
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2025-08-14T21:19:17.2912474Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T21:19:17.2951151Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-14T21:19:17.2994202Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T21:19:17.3035614Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T21:19:17.3073342Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T21:19:17.3120261Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T21:19:17.3158650Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T21:19:17.3199319Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T21:19:17.3243060Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T21:19:17.3284746Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T21:19:17.3328477Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T21:19:17.3370859Z Entering 'third_party/kleidiai'
2025-08-14T21:19:17.3411773Z Entering 'third_party/mimalloc'
2025-08-14T21:19:17.3453593Z Entering 'third_party/nlohmann'
2025-08-14T21:19:17.3496508Z Entering 'third_party/onnx'
2025-08-14T21:19:17.3549948Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-14T21:19:17.3592650Z Entering 'third_party/opentelemetry-cpp'
2025-08-14T21:19:17.3635576Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T21:19:17.3670350Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T21:19:17.3713277Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T21:19:17.3754743Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T21:19:17.3793185Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T21:19:17.3835147Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T21:19:17.3871940Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T21:19:17.3913942Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T21:19:17.3954078Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T21:19:17.3998246Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T21:19:17.4056040Z Entering 'third_party/pocketfft'
2025-08-14T21:19:17.4099955Z Entering 'third_party/protobuf'
2025-08-14T21:19:17.4138410Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-14T21:19:17.4179820Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T21:19:17.4223338Z Entering 'third_party/psimd'
2025-08-14T21:19:17.4260287Z Entering 'third_party/pthreadpool'
2025-08-14T21:19:17.4302609Z Entering 'third_party/pybind11'
2025-08-14T21:19:17.4342797Z Entering 'third_party/python-peachpy'
2025-08-14T21:19:17.4390513Z Entering 'third_party/sleef'
2025-08-14T21:19:17.4419832Z Entering 'third_party/tensorpipe'
2025-08-14T21:19:17.4459828Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T21:19:17.4506802Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T21:19:17.4540743Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T21:19:17.4579837Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T21:19:17.4616490Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T21:19:17.4674162Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-08-14T21:19:17.4980506Z Entering 'android/libs/fbjni'
2025-08-14T21:19:17.5021638Z Entering 'third_party/FP16'
2025-08-14T21:19:17.5057976Z Entering 'third_party/FXdiv'
2025-08-14T21:19:17.5101475Z Entering 'third_party/NNPACK'
2025-08-14T21:19:17.5142066Z Entering 'third_party/NVTX'
2025-08-14T21:19:17.5180868Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-14T21:19:17.5223730Z Entering 'third_party/XNNPACK'
2025-08-14T21:19:17.5274080Z Entering 'third_party/aiter'
2025-08-14T21:19:17.5312959Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T21:19:17.5361926Z Entering 'third_party/benchmark'
2025-08-14T21:19:17.5405653Z Entering 'third_party/composable_kernel'
2025-08-14T21:19:17.5452191Z Entering 'third_party/cpp-httplib'
2025-08-14T21:19:17.5491996Z Entering 'third_party/cpuinfo'
2025-08-14T21:19:17.5530585Z Entering 'third_party/cudnn_frontend'
2025-08-14T21:19:17.5573448Z Entering 'third_party/cutlass'
2025-08-14T21:19:17.5619417Z Entering 'third_party/fbgemm'
2025-08-14T21:19:17.5656050Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-14T21:19:17.5696404Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-14T21:19:17.5734389Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-14T21:19:17.5771575Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-14T21:19:17.5814810Z Entering 'third_party/fbgemm/external/googletest'
2025-08-14T21:19:17.5850745Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-14T21:19:17.5892186Z Entering 'third_party/fbgemm/external/json'
2025-08-14T21:19:17.5937191Z Entering 'third_party/flash-attention'
2025-08-14T21:19:17.5992341Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-14T21:19:17.6038975Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-14T21:19:17.6086983Z Entering 'third_party/flatbuffers'
2025-08-14T21:19:17.6127607Z Entering 'third_party/fmt'
2025-08-14T21:19:17.6171008Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-14T21:19:17.6211664Z Entering 'third_party/gloo'
2025-08-14T21:19:17.6248716Z Entering 'third_party/googletest'
2025-08-14T21:19:17.6290468Z Entering 'third_party/ideep'
2025-08-14T21:19:17.6323392Z Entering 'third_party/ideep/mkl-dnn'
2025-08-14T21:19:17.6372611Z Entering 'third_party/ittapi'
2025-08-14T21:19:17.6411979Z Entering 'third_party/kineto'
2025-08-14T21:19:17.6452444Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T21:19:17.6493484Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T21:19:17.6533144Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-14T21:19:17.6574087Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T21:19:17.6615024Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T21:19:17.6653783Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T21:19:17.6699605Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T21:19:17.6740568Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T21:19:17.6779630Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T21:19:17.6824829Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T21:19:17.6862710Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T21:19:17.6906008Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T21:19:17.6946337Z Entering 'third_party/kleidiai'
2025-08-14T21:19:17.6989231Z Entering 'third_party/mimalloc'
2025-08-14T21:19:17.7030042Z Entering 'third_party/nlohmann'
2025-08-14T21:19:17.7070572Z Entering 'third_party/onnx'
2025-08-14T21:19:17.7120498Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-14T21:19:17.7161803Z Entering 'third_party/opentelemetry-cpp'
2025-08-14T21:19:17.7202826Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T21:19:17.7243295Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T21:19:17.7286318Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T21:19:17.7325405Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T21:19:17.7359864Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T21:19:17.7401926Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T21:19:17.7443203Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T21:19:17.7480243Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T21:19:17.7524584Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T21:19:17.7561237Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T21:19:17.7619837Z Entering 'third_party/pocketfft'
2025-08-14T21:19:17.7657257Z Entering 'third_party/protobuf'
2025-08-14T21:19:17.7705033Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-14T21:19:17.7746992Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T21:19:17.7784004Z Entering 'third_party/psimd'
2025-08-14T21:19:17.7824475Z Entering 'third_party/pthreadpool'
2025-08-14T21:19:17.7857986Z Entering 'third_party/pybind11'
2025-08-14T21:19:17.7901271Z Entering 'third_party/python-peachpy'
2025-08-14T21:19:17.7942404Z Entering 'third_party/sleef'
2025-08-14T21:19:17.7986788Z Entering 'third_party/tensorpipe'
2025-08-14T21:19:17.8023692Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T21:19:17.8058885Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T21:19:17.8102599Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T21:19:17.8145632Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T21:19:17.8186175Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T21:19:17.8243612Z ##[endgroup]
2025-08-14T21:19:17.8285270Z [command]/usr/bin/git log -1 --format=%H
2025-08-14T21:19:17.8314855Z 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:19:17.8471669Z Prepare all required actions
2025-08-14T21:19:17.8472091Z Getting action download info
2025-08-14T21:19:17.9711980Z ##[group]Run ./.github/actions/setup-linux
2025-08-14T21:19:17.9712202Z env:
2025-08-14T21:19:17.9712358Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:19:17.9712521Z ##[endgroup]
2025-08-14T21:19:17.9753002Z ##[group]Run set -euo pipefail
2025-08-14T21:19:17.9753264Z set -euo pipefail
2025-08-14T21:19:17.9753457Z function get_ec2_metadata() {
2025-08-14T21:19:17.9753685Z   # Pulled from instance metadata endpoint for EC2
2025-08-14T21:19:17.9754064Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-08-14T21:19:17.9754391Z   category=$1
2025-08-14T21:19:17.9754617Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-08-14T21:19:17.9754868Z   runner_name_str=i-09e31cdd6d16df249
2025-08-14T21:19:17.9755121Z   if [[ -f /.inarc ]]; then
2025-08-14T21:19:17.9755331Z     echo "ARC Runner, no info on ec2 metadata"
2025-08-14T21:19:17.9755566Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-08-14T21:19:17.9755838Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-08-14T21:19:17.9756081Z   else
2025-08-14T21:19:17.9756566Z     curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2025-08-14T21:19:17.9757050Z   fi
2025-08-14T21:19:17.9757196Z }
2025-08-14T21:19:17.9757372Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-08-14T21:19:17.9757621Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-08-14T21:19:17.9757899Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-08-14T21:19:17.9758143Z echo "system info $(uname -a)"
2025-08-14T21:19:17.9766302Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:19:17.9766548Z env:
2025-08-14T21:19:17.9766707Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:19:17.9766878Z ##[endgroup]
2025-08-14T21:19:17.9924726Z ami-id: ami-05ffe3c48a9991133
2025-08-14T21:19:18.0021677Z instance-id: i-09e31cdd6d16df249
2025-08-14T21:19:18.0121451Z instance-type: m7i-flex.8xlarge
2025-08-14T21:19:18.0133928Z system info Linux ip-10-0-75-132.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-08-14T21:19:18.0164204Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:19:18.0164780Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:19:18.0170604Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:19:18.0170889Z env:
2025-08-14T21:19:18.0171050Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:19:18.0171222Z ##[endgroup]
2025-08-14T21:19:18.0225285Z ##[group]Run if systemctl is-active --quiet docker; then
2025-08-14T21:19:18.0225571Z if systemctl is-active --quiet docker; then
2025-08-14T21:19:18.0225812Z     echo "Docker daemon is running...";
2025-08-14T21:19:18.0226103Z else
2025-08-14T21:19:18.0226328Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-08-14T21:19:18.0226576Z fi
2025-08-14T21:19:18.0230396Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:19:18.0230623Z env:
2025-08-14T21:19:18.0230776Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:19:18.0230947Z ##[endgroup]
2025-08-14T21:19:18.0352791Z Docker daemon is running...
2025-08-14T21:19:18.0394689Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-14T21:19:18.0394895Z with:
2025-08-14T21:19:18.0395037Z   shell: bash
2025-08-14T21:19:18.0395323Z   timeout_minutes: 5
2025-08-14T21:19:18.0395487Z   max_attempts: 3
2025-08-14T21:19:18.0395641Z   retry_wait_seconds: 30
2025-08-14T21:19:18.0396899Z   command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
    --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"

# For LF Runners we need to make sure we also login to Meta's ECR docker registry too.
META_AWS_ACCOUNT_ID=308535385114
if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then
    aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
        --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
fi

2025-08-14T21:19:18.0398122Z   polling_interval_seconds: 1
2025-08-14T21:19:18.0398303Z   warning_on_retry: true
2025-08-14T21:19:18.0398470Z   continue_on_error: false
2025-08-14T21:19:18.0398630Z env:
2025-08-14T21:19:18.0398777Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:19:18.0398951Z   AWS_RETRY_MODE: standard
2025-08-14T21:19:18.0399110Z   AWS_MAX_ATTEMPTS: 5
2025-08-14T21:19:18.0399281Z   AWS_DEFAULT_REGION: us-east-1
2025-08-14T21:19:18.0399460Z ##[endgroup]
2025-08-14T21:19:19.0095482Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T21:19:19.0098246Z Configure a credential helper to remove this warning. See
2025-08-14T21:19:19.0098762Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T21:19:19.0104112Z 
2025-08-14T21:19:19.0108456Z Login Succeeded
2025-08-14T21:19:19.1529000Z Command completed after 1 attempt(s).
2025-08-14T21:19:19.1593130Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:19:19.1593485Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:19:19.1593773Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:19:19.1599731Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:19:19.1599984Z env:
2025-08-14T21:19:19.1600146Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:19:19.1600310Z ##[endgroup]
2025-08-14T21:19:19.1688295Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-14T21:19:19.1688650Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-14T21:19:19.1688929Z # shellcheck disable=SC2046
2025-08-14T21:19:19.1689143Z docker stop $(docker ps -q) || true
2025-08-14T21:19:19.1689356Z # Prune all of the docker images
2025-08-14T21:19:19.1689565Z docker system prune -af
2025-08-14T21:19:19.1694268Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:19:19.1694516Z env:
2025-08-14T21:19:19.1694686Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:19:19.1694875Z ##[endgroup]
2025-08-14T21:19:19.2232360Z "docker stop" requires at least 1 argument.
2025-08-14T21:19:19.2232952Z See 'docker stop --help'.
2025-08-14T21:19:19.2233551Z 
2025-08-14T21:19:19.2233975Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-08-14T21:19:19.2234214Z 
2025-08-14T21:19:19.2234305Z Stop one or more running containers
2025-08-14T21:19:19.2487237Z Total reclaimed space: 0B
2025-08-14T21:19:19.2530401Z ##[group]Run set +e
2025-08-14T21:19:19.2530633Z set +e
2025-08-14T21:19:19.2530810Z set -x
2025-08-14T21:19:19.2531105Z 
2025-08-14T21:19:19.2531284Z PT_DOMAIN=download.pytorch.org
2025-08-14T21:19:19.2531679Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400,
2025-08-14T21:19:19.2532152Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last
2025-08-14T21:19:19.2532488Z # one is returned at random
2025-08-14T21:19:19.2532747Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1)
2025-08-14T21:19:19.2533007Z 
2025-08-14T21:19:19.2533295Z if [ -z "${RESOLVED_IP}" ]; then
2025-08-14T21:19:19.2533587Z   echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..."
2025-08-14T21:19:19.2533941Z   RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1)
2025-08-14T21:19:19.2534204Z 
2025-08-14T21:19:19.2534385Z   if [ -z "${RESOLVED_IP}" ]; then
2025-08-14T21:19:19.2534650Z     echo "Couldn't resolve ${PT_DOMAIN}, exiting..."
2025-08-14T21:19:19.2534913Z     exit 1
2025-08-14T21:19:19.2535094Z   fi
2025-08-14T21:19:19.2535259Z fi
2025-08-14T21:19:19.2535424Z 
2025-08-14T21:19:19.2535624Z if grep -r "${PT_DOMAIN}" /etc/hosts; then
2025-08-14T21:19:19.2535876Z   # Clean up any old records first
2025-08-14T21:19:19.2536128Z   sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts
2025-08-14T21:19:19.2536351Z fi
2025-08-14T21:19:19.2536511Z 
2025-08-14T21:19:19.2536731Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts
2025-08-14T21:19:19.2536997Z cat /etc/hosts
2025-08-14T21:19:19.2541877Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:19:19.2542110Z env:
2025-08-14T21:19:19.2542268Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:19:19.2542448Z ##[endgroup]
2025-08-14T21:19:19.2566154Z + PT_DOMAIN=download.pytorch.org
2025-08-14T21:19:19.2577155Z ++ dig -4 +short download.pytorch.org
2025-08-14T21:19:19.2577670Z ++ tail -n1
2025-08-14T21:19:19.3047833Z + RESOLVED_IP=18.160.10.36
2025-08-14T21:19:19.3049290Z + '[' -z 18.160.10.36 ']'
2025-08-14T21:19:19.3049504Z + grep -r download.pytorch.org /etc/hosts
2025-08-14T21:19:19.3067647Z + echo '18.160.10.36 download.pytorch.org'
2025-08-14T21:19:19.3069601Z + sudo tee -a /etc/hosts
2025-08-14T21:19:19.6071611Z 18.160.10.36 download.pytorch.org
2025-08-14T21:19:19.6096804Z + cat /etc/hosts
2025-08-14T21:19:19.6106087Z 127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4
2025-08-14T21:19:19.6113850Z ::1         localhost6 localhost6.localdomain6
2025-08-14T21:19:19.6114134Z 18.160.10.36 download.pytorch.org
2025-08-14T21:19:19.6220309Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-08-14T21:19:19.6220587Z with:
2025-08-14T21:19:19.6221087Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:19:19.6221627Z   use-custom-docker-registry: true
2025-08-14T21:19:19.6221840Z   docker-build-dir: .ci/docker
2025-08-14T21:19:19.6222038Z   docker-build-script: ./build.sh
2025-08-14T21:19:19.6222225Z   working-directory: .
2025-08-14T21:19:19.6222447Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:19:19.6222687Z   force-push: false
2025-08-14T21:19:19.6222828Z env:
2025-08-14T21:19:19.6222966Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:19:19.6223138Z ##[endgroup]
2025-08-14T21:19:19.6245448Z ##[group]Run set -ex
2025-08-14T21:19:19.6245669Z set -ex
2025-08-14T21:19:19.6245821Z 
2025-08-14T21:19:19.6246100Z # If the docker build directory or the build script doesn't exist, the action will
2025-08-14T21:19:19.6246495Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-08-14T21:19:19.6246821Z # job could then download the pre-built image as usual
2025-08-14T21:19:19.6247321Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-08-14T21:19:19.6247682Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-08-14T21:19:19.6247886Z else
2025-08-14T21:19:19.6248052Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-08-14T21:19:19.6248327Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:19:19.6248571Z 
2025-08-14T21:19:19.6248894Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-08-14T21:19:19.6249237Z   exit 0
2025-08-14T21:19:19.6249388Z fi
2025-08-14T21:19:19.6249529Z 
2025-08-14T21:19:19.6249736Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-08-14T21:19:19.6250256Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-08-14T21:19:19.6250570Z   # use it as it is, but first let's extract the tag
2025-08-14T21:19:19.6250856Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-08-14T21:19:19.6251161Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:19:19.6251483Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:19:19.6251746Z else
2025-08-14T21:19:19.6251944Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-08-14T21:19:19.6252202Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-08-14T21:19:19.6252473Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-08-14T21:19:19.6252702Z   fi
2025-08-14T21:19:19.6252980Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-08-14T21:19:19.6253343Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:19:19.6253728Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:19:19.6254153Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:19:19.6254405Z fi
2025-08-14T21:19:19.6260912Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:19:19.6261165Z env:
2025-08-14T21:19:19.6261315Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:19:19.6261499Z   REPO_NAME: pytorch
2025-08-14T21:19:19.6262462Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:19:19.6263029Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-14T21:19:19.6263230Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-08-14T21:19:19.6263509Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:19:19.6263763Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-08-14T21:19:19.6263943Z   CUSTOM_TAG_PREFIX: 
2025-08-14T21:19:19.6264109Z ##[endgroup]
2025-08-14T21:19:19.6288747Z + [[ -d .ci/docker ]]
2025-08-14T21:19:19.6289678Z + [[ -f .ci/docker/./build.sh ]]
2025-08-14T21:19:19.6290087Z + [[ true == \t\r\u\e ]]
2025-08-14T21:19:19.6290285Z + echo skip=false
2025-08-14T21:19:19.6290975Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]]
2025-08-14T21:19:19.6294542Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:19:19.6295066Z ++ awk -F '[:,]' '{print $2}'
2025-08-14T21:19:19.6319009Z + DOCKER_TAG=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:19:19.6320028Z + echo docker-tag=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:19:19.6320832Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:19:19.6348656Z ##[group]Run set +e
2025-08-14T21:19:19.6348873Z set +e
2025-08-14T21:19:19.6349033Z set -x
2025-08-14T21:19:19.6349186Z 
2025-08-14T21:19:19.6349322Z login() {
2025-08-14T21:19:19.6349615Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-14T21:19:19.6349924Z }
2025-08-14T21:19:19.6350057Z 
2025-08-14T21:19:19.6350198Z retry () {
2025-08-14T21:19:19.6350376Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-14T21:19:19.6350564Z }
2025-08-14T21:19:19.6350704Z 
2025-08-14T21:19:19.6350857Z retry login "${DOCKER_REGISTRY}"
2025-08-14T21:19:19.6351044Z 
2025-08-14T21:19:19.6351183Z START_TIME=$(date +%s)
2025-08-14T21:19:19.6351374Z # Wait up to 120 minutes
2025-08-14T21:19:19.6351604Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-08-14T21:19:19.6351889Z   # Check if image already exists, if it does then skip building it
2025-08-14T21:19:19.6352178Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-08-14T21:19:19.6352395Z     exit 0
2025-08-14T21:19:19.6352540Z   fi
2025-08-14T21:19:19.6352682Z 
2025-08-14T21:19:19.6352916Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-08-14T21:19:19.6353291Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-08-14T21:19:19.6353652Z   # latter, it will wait for the Docker images to become available before continuing
2025-08-14T21:19:19.6353954Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-08-14T21:19:19.6354198Z     # It's a Docker build job, let's build the image
2025-08-14T21:19:19.6354407Z     break
2025-08-14T21:19:19.6354552Z   else
2025-08-14T21:19:19.6354765Z     # It's a regular build job, wait for the image to become available
2025-08-14T21:19:19.6355010Z     sleep 300
2025-08-14T21:19:19.6355164Z   fi
2025-08-14T21:19:19.6355310Z done
2025-08-14T21:19:19.6355455Z 
2025-08-14T21:19:19.6355672Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-08-14T21:19:19.6356077Z # be empty.  The default action would be to continue rebuild the image
2025-08-14T21:19:19.6356384Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-08-14T21:19:19.6356657Z   # if we're on the base branch then use the parent commit
2025-08-14T21:19:19.6356900Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-08-14T21:19:19.6357098Z else
2025-08-14T21:19:19.6357311Z   # otherwise we're on a PR, so use the most recent base commit
2025-08-14T21:19:19.6357591Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-08-14T21:19:19.6357816Z fi
2025-08-14T21:19:19.6357961Z 
2025-08-14T21:19:19.6358120Z if [[ -z "${MERGE_BASE}" ]]; then
2025-08-14T21:19:19.6358341Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-14T21:19:19.6358547Z 
2025-08-14T21:19:19.6358825Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-08-14T21:19:19.6359129Z   exit 0
2025-08-14T21:19:19.6359279Z fi
2025-08-14T21:19:19.6359432Z 
2025-08-14T21:19:19.6359619Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-08-14T21:19:19.6360053Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-08-14T21:19:19.6360374Z   exit 1
2025-08-14T21:19:19.6360519Z fi
2025-08-14T21:19:19.6360648Z 
2025-08-14T21:19:19.6360871Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-08-14T21:19:19.6361239Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-08-14T21:19:19.6361570Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-08-14T21:19:19.6361948Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-08-14T21:19:19.6362531Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-08-14T21:19:19.6362797Z fi
2025-08-14T21:19:19.6362930Z 
2025-08-14T21:19:19.6363103Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-14T21:19:19.6368120Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:19:19.6368362Z env:
2025-08-14T21:19:19.6368512Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:19:19.6368698Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-14T21:19:19.6368926Z   BASE_REVISION: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:19:19.6369487Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:19:19.6370399Z   DOCKER_TAG: pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:19:19.6370857Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:19:19.6371103Z   DOCKER_PUSH: 
2025-08-14T21:19:19.6371281Z ##[endgroup]
2025-08-14T21:19:19.6390664Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:19:19.6390956Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:19:19.6395992Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:19:19.6399307Z + aws ecr get-login-password --region us-east-1
2025-08-14T21:19:20.0697143Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T21:19:20.0698143Z Configure a credential helper to remove this warning. See
2025-08-14T21:19:20.0698505Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T21:19:20.0698724Z 
2025-08-14T21:19:20.0698799Z Login Succeeded
2025-08-14T21:19:20.0720601Z ++ date +%s
2025-08-14T21:19:20.0728975Z + START_TIME=1755206360
2025-08-14T21:19:20.0729365Z ++ date +%s
2025-08-14T21:19:20.0740680Z + [[ 1755199160 -lt 1755206360 ]]
2025-08-14T21:19:20.0741465Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:19:20.2882902Z {
2025-08-14T21:19:20.2883184Z 	"schemaVersion": 2,
2025-08-14T21:19:20.2883493Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-08-14T21:19:20.2883782Z 	"config": {
2025-08-14T21:19:20.2884013Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-08-14T21:19:20.2884258Z 		"size": 30151,
2025-08-14T21:19:20.2884524Z 		"digest": "sha256:0899ae453036ee7a91795ea95b1db61000579eeb74b140edab5976919ee64bbe"
2025-08-14T21:19:20.2884804Z 	},
2025-08-14T21:19:20.2884934Z 	"layers": [
2025-08-14T21:19:20.2885071Z 		{
2025-08-14T21:19:20.2885283Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2885533Z 			"size": 30448173,
2025-08-14T21:19:20.2885835Z 			"digest": "sha256:660ffc76f83b006444a5731b215acc2e35138d8be5cac8ed1ffd40f947117495"
2025-08-14T21:19:20.2886118Z 		},
2025-08-14T21:19:20.2886243Z 		{
2025-08-14T21:19:20.2886454Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2887094Z 			"size": 1554,
2025-08-14T21:19:20.2887339Z 			"digest": "sha256:c7b4a852a45516e27a9256df90878663d770f96d271d6155d43be78cc5225eef"
2025-08-14T21:19:20.2887619Z 		},
2025-08-14T21:19:20.2887753Z 		{
2025-08-14T21:19:20.2887966Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2888214Z 			"size": 313280151,
2025-08-14T21:19:20.2888473Z 			"digest": "sha256:e5a28988c8932eb5797557621582a064ce48651dbb5eaed379e9978535daccb9"
2025-08-14T21:19:20.2888741Z 		},
2025-08-14T21:19:20.2888861Z 		{
2025-08-14T21:19:20.2889064Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2889372Z 			"size": 793,
2025-08-14T21:19:20.2889627Z 			"digest": "sha256:76a69b57b6837bef07dbc1b481cf28a62dfd7c7063219d9f6e0d0d63067653c7"
2025-08-14T21:19:20.2889901Z 		},
2025-08-14T21:19:20.2890257Z 		{
2025-08-14T21:19:20.2890479Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2890746Z 			"size": 106,
2025-08-14T21:19:20.2891037Z 			"digest": "sha256:5c785dcb4cdbf1f2ceffe4d1d8e85d73225a56d0236e7ed6e36a95c836996052"
2025-08-14T21:19:20.2891348Z 		},
2025-08-14T21:19:20.2891474Z 		{
2025-08-14T21:19:20.2891689Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2892014Z 			"size": 704,
2025-08-14T21:19:20.2892270Z 			"digest": "sha256:836ab08052e8eb2bae68e69ae086fd23a5f04a8491c320718ab47f84f03aebb1"
2025-08-14T21:19:20.2892552Z 		},
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2025-08-14T21:19:20.2941081Z 		{
2025-08-14T21:19:20.2941278Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2941523Z 			"size": 160,
2025-08-14T21:19:20.2941777Z 			"digest": "sha256:e06d15594a2a76995baebbce7032946ff9f94e281246fbc3f8ab19d8bcc38b81"
2025-08-14T21:19:20.2942047Z 		},
2025-08-14T21:19:20.2942178Z 		{
2025-08-14T21:19:20.2942379Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2942616Z 			"size": 1010,
2025-08-14T21:19:20.2942918Z 			"digest": "sha256:0e55deb5cb38fd36b600183f7d86eaca0dabc04d2ff4d49ec2266ee3329edc4a"
2025-08-14T21:19:20.2943201Z 		},
2025-08-14T21:19:20.2943323Z 		{
2025-08-14T21:19:20.2943527Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2943777Z 			"size": 724,
2025-08-14T21:19:20.2944003Z 			"digest": "sha256:fc6b37d40530f2c5339430321eab67ae1e2e87e997587c7bc8c41504464208f9"
2025-08-14T21:19:20.2944265Z 		},
2025-08-14T21:19:20.2944386Z 		{
2025-08-14T21:19:20.2944580Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2944809Z 			"size": 134,
2025-08-14T21:19:20.2945050Z 			"digest": "sha256:4a53d66dce071bb7416414aa1adbc3e4a59003300c0d42038612fabdeb5a1b01"
2025-08-14T21:19:20.2945311Z 		},
2025-08-14T21:19:20.2945427Z 		{
2025-08-14T21:19:20.2945621Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2945855Z 			"size": 32,
2025-08-14T21:19:20.2946086Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:19:20.2946354Z 		},
2025-08-14T21:19:20.2946477Z 		{
2025-08-14T21:19:20.2946662Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2946895Z 			"size": 159,
2025-08-14T21:19:20.2947133Z 			"digest": "sha256:1519daa051b8b80e04125f2f2215dc412dcdbb9502711925e97aeccbda069eaf"
2025-08-14T21:19:20.2947393Z 		},
2025-08-14T21:19:20.2947507Z 		{
2025-08-14T21:19:20.2947700Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2947934Z 			"size": 1371,
2025-08-14T21:19:20.2948169Z 			"digest": "sha256:381ed91d2119f078fbba19102a65befc4cb242f8cf47a11fb6f76ea424690692"
2025-08-14T21:19:20.2948433Z 		},
2025-08-14T21:19:20.2948554Z 		{
2025-08-14T21:19:20.2948741Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2948974Z 			"size": 32,
2025-08-14T21:19:20.2949213Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:19:20.2949472Z 		},
2025-08-14T21:19:20.2949592Z 		{
2025-08-14T21:19:20.2949788Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2950017Z 			"size": 137,
2025-08-14T21:19:20.2950256Z 			"digest": "sha256:c6b0a01a96dd479640297d4b012031ffc1bd9fc0daf61d86058f9b675c0a0705"
2025-08-14T21:19:20.2950521Z 		},
2025-08-14T21:19:20.2950642Z 		{
2025-08-14T21:19:20.2950830Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2951067Z 			"size": 380,
2025-08-14T21:19:20.2951310Z 			"digest": "sha256:62df6413daeefebde04dcc401134734952e4ea37fc85ff23c89cb9b4fbd45155"
2025-08-14T21:19:20.2951570Z 		},
2025-08-14T21:19:20.2951693Z 		{
2025-08-14T21:19:20.2951934Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2952169Z 			"size": 32,
2025-08-14T21:19:20.2952414Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:19:20.2952688Z 		},
2025-08-14T21:19:20.2952806Z 		{
2025-08-14T21:19:20.2953004Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2953251Z 			"size": 104,
2025-08-14T21:19:20.2953497Z 			"digest": "sha256:7a18bc2a6881b76a6f591c98dafb47e44d903f7a905f7eba0fc3aedb5c90fff7"
2025-08-14T21:19:20.2953764Z 		},
2025-08-14T21:19:20.2953885Z 		{
2025-08-14T21:19:20.2954078Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2954303Z 			"size": 407,
2025-08-14T21:19:20.2954538Z 			"digest": "sha256:93359cd58a8cece344fd4291b27647e57761c9399bb54bb0c18149c12af5f66a"
2025-08-14T21:19:20.2954797Z 		},
2025-08-14T21:19:20.2954915Z 		{
2025-08-14T21:19:20.2955115Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2955356Z 			"size": 32,
2025-08-14T21:19:20.2955594Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:19:20.2955862Z 		},
2025-08-14T21:19:20.2955987Z 		{
2025-08-14T21:19:20.2956211Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2956452Z 			"size": 109,
2025-08-14T21:19:20.2956707Z 			"digest": "sha256:c35ba0a1f353d6894c914a4bfbea9a2c9b8ac1b526af64d34cbe9a12bd83c78e"
2025-08-14T21:19:20.2956978Z 		},
2025-08-14T21:19:20.2957094Z 		{
2025-08-14T21:19:20.2957288Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2957524Z 			"size": 1896,
2025-08-14T21:19:20.2957766Z 			"digest": "sha256:dcf1e01c98d6a6f72674d79a4e8e4047b54796576cd06ad682c225a92820a8f5"
2025-08-14T21:19:20.2958035Z 		},
2025-08-14T21:19:20.2958160Z 		{
2025-08-14T21:19:20.2958349Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2958591Z 			"size": 242635753,
2025-08-14T21:19:20.2958850Z 			"digest": "sha256:bad0564f61fdf377e3ae31f6fec0ec28b6922da0b9db28408b55b8e97ff1ea51"
2025-08-14T21:19:20.2959115Z 		},
2025-08-14T21:19:20.2959239Z 		{
2025-08-14T21:19:20.2959434Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2959668Z 			"size": 106,
2025-08-14T21:19:20.2959928Z 			"digest": "sha256:539ded9057364aade7abe23ab908d2caf53966a186734aa58ae84a56bee659eb"
2025-08-14T21:19:20.2960190Z 		},
2025-08-14T21:19:20.2960311Z 		{
2025-08-14T21:19:20.2960499Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2960736Z 			"size": 163,
2025-08-14T21:19:20.2960975Z 			"digest": "sha256:28d482062637d32514edfc447913e98745d7c13d2f277531e64ffcf090ae6d92"
2025-08-14T21:19:20.2961231Z 		},
2025-08-14T21:19:20.2961355Z 		{
2025-08-14T21:19:20.2961553Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2961786Z 			"size": 7943,
2025-08-14T21:19:20.2962330Z 			"digest": "sha256:3245316ff51b50b27da4ef7279733c92f76cc652b3fce3877c0e3d510430e8b3"
2025-08-14T21:19:20.2962739Z 		},
2025-08-14T21:19:20.2962875Z 		{
2025-08-14T21:19:20.2963081Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2963333Z 			"size": 8073,
2025-08-14T21:19:20.2963586Z 			"digest": "sha256:b53167d1a6df0e4b67d637d073150dff1fb87a823864c0c98d77c15e56babc24"
2025-08-14T21:19:20.2963865Z 		},
2025-08-14T21:19:20.2963992Z 		{
2025-08-14T21:19:20.2964203Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2964436Z 			"size": 303,
2025-08-14T21:19:20.2964681Z 			"digest": "sha256:7f5277f691672469f431fd90a8c2bb702c6c68333f6be2cff868f00e416c5a1a"
2025-08-14T21:19:20.2964951Z 		},
2025-08-14T21:19:20.2965069Z 		{
2025-08-14T21:19:20.2965265Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2965506Z 			"size": 32,
2025-08-14T21:19:20.2965851Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:19:20.2966124Z 		},
2025-08-14T21:19:20.2966251Z 		{
2025-08-14T21:19:20.2966440Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2966682Z 			"size": 108,
2025-08-14T21:19:20.2966936Z 			"digest": "sha256:23dff10cdaa5b1e9c7250f0c58a6279f104b35408281e951bfe9983f97e3d9ed"
2025-08-14T21:19:20.2967205Z 		},
2025-08-14T21:19:20.2967323Z 		{
2025-08-14T21:19:20.2967523Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2967768Z 			"size": 54145699,
2025-08-14T21:19:20.2968016Z 			"digest": "sha256:9fb73296da6ac15f37f36663bd10afc98abb8a01fb40bff4848de7247d28e018"
2025-08-14T21:19:20.2968286Z 		},
2025-08-14T21:19:20.2968410Z 		{
2025-08-14T21:19:20.2968600Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:19:20.2968835Z 			"size": 32,
2025-08-14T21:19:20.2969079Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:19:20.2969336Z 		}
2025-08-14T21:19:20.2969462Z 	]
2025-08-14T21:19:20.2969589Z }
2025-08-14T21:19:20.2969731Z + exit 0
2025-08-14T21:19:20.2995917Z ##[group]Run set -eux
2025-08-14T21:19:20.2996123Z set -eux
2025-08-14T21:19:20.2996699Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin
2025-08-14T21:19:20.3003515Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:19:20.3003747Z env:
2025-08-14T21:19:20.3003899Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:19:20.3004063Z ##[endgroup]
2025-08-14T21:19:20.3033525Z + jq --raw-output .SecretString
2025-08-14T21:19:20.3038265Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-08-14T21:19:20.3038744Z + jq -r .docker_hub_readonly_token
2025-08-14T21:19:20.3039026Z + docker login --username pytorchbot --password-stdin
2025-08-14T21:19:20.7641877Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T21:19:20.7642287Z Configure a credential helper to remove this warning. See
2025-08-14T21:19:20.7642650Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T21:19:20.7642915Z 
2025-08-14T21:19:20.7643615Z Login Succeeded
2025-08-14T21:19:20.7720990Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-08-14T21:19:20.7721250Z tag=${ECR_DOCKER_IMAGE##*:}
2025-08-14T21:19:20.7721511Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-08-14T21:19:20.7726181Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:19:20.7726413Z env:
2025-08-14T21:19:20.7726556Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:19:20.7727097Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:19:20.7727642Z ##[endgroup]
2025-08-14T21:19:20.7754210Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:19:20.7795312Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-08-14T21:19:20.7795613Z with:
2025-08-14T21:19:20.7796140Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:19:20.7796757Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:19:20.7797014Z env:
2025-08-14T21:19:20.7797178Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:19:20.7797363Z ##[endgroup]
2025-08-14T21:19:20.7812376Z ##[group]Run set -x
2025-08-14T21:19:20.7812620Z set -x
2025-08-14T21:19:20.7812820Z set +e
2025-08-14T21:19:20.7813007Z 
2025-08-14T21:19:20.7813174Z login() {
2025-08-14T21:19:20.7813501Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-14T21:19:20.7813843Z }
2025-08-14T21:19:20.7813989Z 
2025-08-14T21:19:20.7814177Z retry () {
2025-08-14T21:19:20.7814368Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-14T21:19:20.7814595Z }
2025-08-14T21:19:20.7814748Z 
2025-08-14T21:19:20.7814917Z retry login "${DOCKER_REGISTRY}"
2025-08-14T21:19:20.7815124Z 
2025-08-14T21:19:20.7815449Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-08-14T21:19:20.7815879Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-08-14T21:19:20.7816121Z 
2025-08-14T21:19:20.7816274Z set -e
2025-08-14T21:19:20.7816513Z # ignore output since only exit code is used for conditional
2025-08-14T21:19:20.7816841Z # only pull docker image if it's not available locally
2025-08-14T21:19:20.7817194Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-08-14T21:19:20.7817529Z   retry docker pull "${DOCKER_IMAGE}"
2025-08-14T21:19:20.7817748Z fi
2025-08-14T21:19:20.7822433Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:19:20.7822686Z env:
2025-08-14T21:19:20.7822857Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:19:20.7823413Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:19:20.7824018Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:19:20.7824270Z ##[endgroup]
2025-08-14T21:19:20.7846230Z + set +e
2025-08-14T21:19:20.7846653Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:19:20.7847053Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:19:20.7847552Z + aws ecr get-login-password --region us-east-1
2025-08-14T21:19:20.7848865Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:19:21.2023605Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T21:19:21.2024016Z Configure a credential helper to remove this warning. See
2025-08-14T21:19:21.2024370Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T21:19:21.2024597Z 
2025-08-14T21:19:21.2028109Z Login Succeeded
2025-08-14T21:19:21.2052480Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:19:21.2056195Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-08-14T21:19:21.4295895Z + IMAGE_SIZE=27663.483686447144
2025-08-14T21:19:21.4296220Z Compressed size of image in MB: 27663.483686447144
2025-08-14T21:19:21.4296525Z + echo 'Compressed size of image in MB: 27663.483686447144'
2025-08-14T21:19:21.4296795Z + set -e
2025-08-14T21:19:21.4297857Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:19:21.4442934Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:19:21.4444024Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:19:21.6950179Z pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe: Pulling from pytorch/ci-image
2025-08-14T21:19:21.6950680Z 660ffc76f83b: Pulling fs layer
2025-08-14T21:19:21.6953195Z c7b4a852a455: Pulling fs layer
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2025-08-14T21:19:23.8652362Z a504e76e66a4: Verifying Checksum
2025-08-14T21:19:23.8652720Z a504e76e66a4: Download complete
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2025-08-14T21:19:24.3917892Z c9c2b424b8e0: Verifying Checksum
2025-08-14T21:19:24.3921985Z c9c2b424b8e0: Download complete
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2025-08-14T21:19:25.6165919Z b7bdd9a6f789: Verifying Checksum
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2025-08-14T21:19:56.6952250Z 7b92d7a4b8c7: Verifying Checksum
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2025-08-14T21:19:57.7115390Z 7a18bc2a6881: Verifying Checksum
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2025-08-14T21:20:36.4686067Z 5b092eb06909: Download complete
2025-08-14T21:21:09.5368380Z 7b92d7a4b8c7: Pull complete
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2025-08-14T21:22:22.7219546Z fac8f3bd0f85: Verifying Checksum
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2025-08-14T21:28:39.9368959Z Digest: sha256:4236794baba289041d240d08fd393bbd57497c3012e5e0ccd9fd98f61ebf35c6
2025-08-14T21:28:40.0745140Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:28:40.1071113Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:28:40.1124633Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:28:40.1125246Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:28:40.1134569Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:28:40.1134827Z env:
2025-08-14T21:28:40.1135004Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:28:40.1135199Z ##[endgroup]
2025-08-14T21:28:40.1219950Z Prepare all required actions
2025-08-14T21:28:40.1498009Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-08-14T21:28:40.1498266Z with:
2025-08-14T21:28:40.1498935Z   github-token: ***
2025-08-14T21:28:40.1499104Z env:
2025-08-14T21:28:40.1499273Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:28:40.1499471Z ##[endgroup]
2025-08-14T21:28:40.1630926Z ##[group]Run set -eux
2025-08-14T21:28:40.1631369Z set -eux
2025-08-14T21:28:40.1631688Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-14T21:28:40.1636961Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:28:40.1637235Z env:
2025-08-14T21:28:40.1637403Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:28:40.1637859Z   GITHUB_TOKEN: ***
2025-08-14T21:28:40.1638027Z ##[endgroup]
2025-08-14T21:28:40.1663881Z + python3 .github/scripts/get_workflow_job_id.py 16976255153 i-09e31cdd6d16df249
2025-08-14T21:28:41.8384181Z Setting output job-id=48128039112
2025-08-14T21:28:41.8385189Z Setting output job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-14T21:28:41.8670633Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-14T21:28:41.8671130Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-14T21:28:41.8671752Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-08-14T21:28:41.8672280Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:28:41.8677506Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:28:41.8677767Z env:
2025-08-14T21:28:41.8677942Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:28:41.8678129Z   JOB_ID: 48128039112
2025-08-14T21:28:41.8678503Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-14T21:28:41.8678894Z   WORKFLOW_NAME: inductor
2025-08-14T21:28:41.8679084Z   WORKFLOW_RUN_ID: 16976255153
2025-08-14T21:28:41.8679327Z   MONITOR_LOG_INTERVAL: 5
2025-08-14T21:28:41.8679516Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-08-14T21:28:41.8679730Z ##[endgroup]
2025-08-14T21:28:42.5667267Z Defaulting to user installation because normal site-packages is not writeable
2025-08-14T21:28:42.9485610Z Collecting psutil==5.9.8
2025-08-14T21:28:42.9633337Z   Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB)
2025-08-14T21:28:43.0922293Z Collecting dataclasses_json==0.6.7
2025-08-14T21:28:43.0955934Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-08-14T21:28:43.1401723Z Collecting nvidia-ml-py==11.525.84
2025-08-14T21:28:43.1438851Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-08-14T21:28:43.2045299Z Collecting typing-inspect<1,>=0.4.0
2025-08-14T21:28:43.2077576Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-08-14T21:28:43.3075139Z Collecting marshmallow<4.0.0,>=3.18.0
2025-08-14T21:28:43.3109019Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-08-14T21:28:43.4396143Z Collecting packaging>=17.0
2025-08-14T21:28:43.4437018Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-08-14T21:28:43.6004077Z Collecting mypy-extensions>=0.3.0
2025-08-14T21:28:43.6041872Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-08-14T21:28:43.7525448Z Collecting typing-extensions>=3.7.4
2025-08-14T21:28:43.7568407Z   Downloading typing_extensions-4.14.1-py3-none-any.whl (43 kB)
2025-08-14T21:28:44.0738339Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-08-14T21:28:44.7659879Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.14.1 typing-inspect-0.9.0
2025-08-14T21:28:44.9488358Z Prepare all required actions
2025-08-14T21:28:44.9488707Z Getting action download info
2025-08-14T21:28:45.1163049Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-08-14T21:28:45.3842867Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-08-14T21:28:45.8300416Z ##[group]Run ./.github/actions/download-build-artifacts
2025-08-14T21:28:45.8300696Z with:
2025-08-14T21:28:45.8300897Z   name: linux-jammy-py3.9-gcc11-build
2025-08-14T21:28:45.8301130Z   s3-bucket: gha-artifacts
2025-08-14T21:28:45.8301331Z env:
2025-08-14T21:28:45.8301503Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:28:45.8301689Z ##[endgroup]
2025-08-14T21:28:45.8330015Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-14T21:28:45.8330282Z with:
2025-08-14T21:28:45.8330480Z   name: linux-jammy-py3.9-gcc11-build
2025-08-14T21:28:45.8330730Z   s3-bucket: gha-artifacts
2025-08-14T21:28:45.8330979Z   region: us-east-1
2025-08-14T21:28:45.8331149Z env:
2025-08-14T21:28:45.8331320Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:28:45.8331517Z ##[endgroup]
2025-08-14T21:28:46.2402243Z (node:48129) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-14T21:28:46.2402679Z 
2025-08-14T21:28:46.2402871Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-14T21:28:46.2403295Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-14T21:28:46.2403703Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-14T21:28:46.5168859Z Found 1 objects with prefix pytorch/pytorch/16976255153/linux-jammy-py3.9-gcc11-build/
2025-08-14T21:28:46.5169419Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-14T21:28:51.1257469Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-14T21:28:51.1261920Z Artifact download has finished successfully
2025-08-14T21:28:51.1475734Z ##[group]Run unzip -o artifacts.zip
2025-08-14T21:28:51.1475997Z unzip -o artifacts.zip
2025-08-14T21:28:51.1480815Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:28:51.1481070Z env:
2025-08-14T21:28:51.1481242Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:28:51.1481456Z ##[endgroup]
2025-08-14T21:28:51.1549617Z Archive:  artifacts.zip
2025-08-14T21:28:51.1549874Z    creating: dist/
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2025-08-14T21:28:52.3258903Z    creating: dist/vision/
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2025-08-14T21:28:52.3456981Z    creating: dist/ao/
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2025-08-14T21:28:52.3621895Z   inflating: dist/.ninja_log         
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2025-08-14T21:28:57.5283724Z   inflating: build/bin/c10_string_util_test  
2025-08-14T21:28:57.5336873Z   inflating: build/bin/c10_string_view_test  
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2025-08-14T21:28:57.5438285Z   inflating: build/bin/c10_intrusive_ptr_benchmark  
2025-08-14T21:28:57.5497349Z   inflating: build/bin/c10_typeid_test  
2025-08-14T21:28:57.6084433Z   inflating: build/bin/vec_test_all_types_DEFAULT  
2025-08-14T21:28:57.6685486Z   inflating: build/bin/vec_test_all_types_AVX512  
2025-08-14T21:28:57.7288341Z   inflating: build/bin/vec_test_all_types_AVX2  
2025-08-14T21:28:57.7347644Z   inflating: build/bin/static_runtime_bench  
2025-08-14T21:28:57.7606270Z   inflating: build/bin/static_runtime_test  
2025-08-14T21:28:57.7686302Z   inflating: build/bin/Dict_test     
2025-08-14T21:28:57.7741166Z   inflating: build/bin/Dimname_test  
2025-08-14T21:28:57.7811057Z   inflating: build/bin/MaybeOwned_test  
2025-08-14T21:28:57.7868580Z   inflating: build/bin/NamedTensor_test  
2025-08-14T21:28:57.7932555Z   inflating: build/bin/apply_utils_test  
2025-08-14T21:28:57.7994350Z   inflating: build/bin/atest         
2025-08-14T21:28:57.8059419Z   inflating: build/bin/basic         
2025-08-14T21:28:57.8120966Z   inflating: build/bin/broadcast_test  
2025-08-14T21:28:57.8174435Z   inflating: build/bin/cpu_allocator_test  
2025-08-14T21:28:57.8235396Z   inflating: build/bin/cpu_generator_test  
2025-08-14T21:28:57.8289827Z   inflating: build/bin/cpu_profiling_allocator_test  
2025-08-14T21:28:57.8383395Z   inflating: build/bin/cpu_rng_test  
2025-08-14T21:28:57.8438502Z   inflating: build/bin/dlconvertor_test  
2025-08-14T21:28:57.8498760Z   inflating: build/bin/extension_backend_test  
2025-08-14T21:28:57.8560490Z   inflating: build/bin/half_test     
2025-08-14T21:28:57.8659282Z   inflating: build/bin/ivalue_test   
2025-08-14T21:28:57.8716904Z   inflating: build/bin/lazy_tensor_test  
2025-08-14T21:28:57.8771818Z   inflating: build/bin/math_kernel_test  
2025-08-14T21:28:57.8833219Z   inflating: build/bin/memory_format_test  
2025-08-14T21:28:57.8889506Z   inflating: build/bin/memory_overlapping_test  
2025-08-14T21:28:57.8947430Z   inflating: build/bin/mobile_memory_cleanup  
2025-08-14T21:28:57.9009164Z   inflating: build/bin/native_test   
2025-08-14T21:28:57.9064365Z   inflating: build/bin/operator_name_test  
2025-08-14T21:28:57.9122000Z   inflating: build/bin/operators_test  
2025-08-14T21:28:57.9177393Z   inflating: build/bin/packedtensoraccessor_test  
2025-08-14T21:28:57.9251383Z   inflating: build/bin/pow_test      
2025-08-14T21:28:57.9312245Z   inflating: build/bin/quantized_test  
2025-08-14T21:28:57.9368740Z   inflating: build/bin/reduce_ops_test  
2025-08-14T21:28:57.9423410Z   inflating: build/bin/reportMemoryUsage_test  
2025-08-14T21:28:57.9486856Z   inflating: build/bin/scalar_tensor_test  
2025-08-14T21:28:57.9548558Z   inflating: build/bin/scalar_test   
2025-08-14T21:28:57.9606377Z   inflating: build/bin/StorageUtils_test  
2025-08-14T21:28:57.9660386Z   inflating: build/bin/stride_properties_test  
2025-08-14T21:28:57.9742944Z   inflating: build/bin/tensor_iterator_test  
2025-08-14T21:28:57.9803863Z   inflating: build/bin/test_parallel  
2025-08-14T21:28:57.9858180Z   inflating: build/bin/thread_init_test  
2025-08-14T21:28:57.9916552Z   inflating: build/bin/type_ptr_test  
2025-08-14T21:28:57.9979808Z   inflating: build/bin/type_test     
2025-08-14T21:28:58.0036662Z   inflating: build/bin/undefined_tensor_test  
2025-08-14T21:28:58.0094643Z   inflating: build/bin/verify_api_visibility  
2025-08-14T21:28:58.0168322Z   inflating: build/bin/legacy_vmap_test  
2025-08-14T21:28:58.0225223Z   inflating: build/bin/weakref_test  
2025-08-14T21:28:58.0279237Z   inflating: build/bin/wrapdim_test  
2025-08-14T21:28:58.0336427Z   inflating: build/bin/xla_tensor_test  
2025-08-14T21:28:58.0398276Z   inflating: build/bin/IListRef_test  
2025-08-14T21:28:58.0506356Z   inflating: build/bin/List_test     
2025-08-14T21:28:58.0572428Z   inflating: build/bin/KernelFunction_test  
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2025-08-14T21:28:58.0797070Z   inflating: build/bin/kernel_function_test  
2025-08-14T21:28:58.0923632Z   inflating: build/bin/kernel_lambda_legacy_test  
2025-08-14T21:28:58.1027721Z   inflating: build/bin/kernel_lambda_test  
2025-08-14T21:28:58.1091002Z   inflating: build/bin/kernel_stackbased_test  
2025-08-14T21:28:58.1189802Z   inflating: build/bin/make_boxed_from_unboxed_functor_test  
2025-08-14T21:28:58.1242683Z   inflating: build/bin/CppSignature_test  
2025-08-14T21:28:58.1302959Z   inflating: build/bin/backend_fallback_test  
2025-08-14T21:28:58.1357139Z   inflating: build/bin/op_allowlist_test  
2025-08-14T21:28:58.1667002Z   inflating: build/bin/op_registration_test  
2025-08-14T21:28:58.1740279Z   inflating: build/bin/inline_container_test  
2025-08-14T21:28:58.2833623Z   inflating: build/bin/test_jit      
2025-08-14T21:28:58.2889689Z   inflating: build/bin/BackoffTest   
2025-08-14T21:28:58.3215930Z   inflating: build/bin/test_nativert  
2025-08-14T21:28:58.3277975Z   inflating: build/bin/TCPStoreTest  
2025-08-14T21:28:58.3335610Z   inflating: build/bin/FileStoreTest  
2025-08-14T21:28:58.3392939Z   inflating: build/bin/HashStoreTest  
2025-08-14T21:28:58.3398213Z   inflating: build/bin/example_allreduce  
2025-08-14T21:28:58.3455158Z   inflating: build/bin/test_dist_autograd  
2025-08-14T21:28:58.3528257Z   inflating: build/bin/ProcessGroupGlooTest  
2025-08-14T21:28:58.3600380Z   inflating: build/bin/test_cpp_rpc  
2025-08-14T21:28:58.3601033Z   inflating: build/bin/parallel_benchmark  
2025-08-14T21:28:58.4741446Z   inflating: build/bin/test_api      
2025-08-14T21:28:58.5080338Z   inflating: build/bin/test_lazy     
2025-08-14T21:28:58.5084757Z   inflating: build/bin/torch_shm_manager  
2025-08-14T21:28:58.5084996Z    creating: .additional_ci_files/
2025-08-14T21:28:58.5160016Z   inflating: .additional_ci_files/test-times.json  
2025-08-14T21:28:58.5445207Z   inflating: .additional_ci_files/test-class-times.json  
2025-08-14T21:28:58.5467081Z ##[group]Run rm artifacts.zip
2025-08-14T21:28:58.5467314Z rm artifacts.zip
2025-08-14T21:28:58.5471852Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:28:58.5472106Z env:
2025-08-14T21:28:58.5472271Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:28:58.5472442Z ##[endgroup]
2025-08-14T21:28:58.5816914Z ##[group]Run df -H
2025-08-14T21:28:58.5817127Z df -H
2025-08-14T21:28:58.5822133Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:28:58.5822394Z env:
2025-08-14T21:28:58.5822586Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:28:58.5822769Z ##[endgroup]
2025-08-14T21:28:58.5862945Z Filesystem        Size  Used Avail Use% Mounted on
2025-08-14T21:28:58.5863279Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-08-14T21:28:58.5867232Z tmpfs              67G     0   67G   0% /dev/shm
2025-08-14T21:28:58.5867621Z tmpfs              27G  791k   27G   1% /run
2025-08-14T21:28:58.5868177Z /dev/nvme0n1p1    215G   69G  146G  33% /
2025-08-14T21:28:58.5868447Z tmpfs              67G   13k   67G   1% /tmp
2025-08-14T21:28:58.5868720Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-08-14T21:28:58.5891997Z Prepare all required actions
2025-08-14T21:28:58.5893038Z Getting action download info
2025-08-14T21:28:58.7107841Z ##[group]Run ./.github/actions/download-td-artifacts
2025-08-14T21:28:58.7108137Z with:
2025-08-14T21:28:58.7108297Z env:
2025-08-14T21:28:58.7108463Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:28:58.7108651Z ##[endgroup]
2025-08-14T21:28:58.7144760Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-14T21:28:58.7145010Z with:
2025-08-14T21:28:58.7145186Z   name: td_results
2025-08-14T21:28:58.7145377Z   s3-bucket: gha-artifacts
2025-08-14T21:28:58.7145570Z   region: us-east-1
2025-08-14T21:28:58.7145745Z env:
2025-08-14T21:28:58.7145911Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:28:58.7146096Z ##[endgroup]
2025-08-14T21:28:59.0832198Z (node:48148) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-14T21:28:59.0833787Z 
2025-08-14T21:28:59.0834086Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-14T21:28:59.0834457Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-14T21:28:59.0834837Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-14T21:28:59.1699618Z Found 0 objects with prefix pytorch/pytorch/16976255153/td_results/
2025-08-14T21:28:59.1708470Z Artifact download has finished successfully
2025-08-14T21:28:59.1891484Z ##[group]Run mkdir -p .additional_ci_files
2025-08-14T21:28:59.1891765Z mkdir -p .additional_ci_files
2025-08-14T21:28:59.1892061Z mv td_results.json .additional_ci_files/td_results.json || true
2025-08-14T21:28:59.1897331Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:28:59.1897592Z env:
2025-08-14T21:28:59.1897761Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:28:59.1897961Z ##[endgroup]
2025-08-14T21:28:59.1948123Z mv: cannot stat 'td_results.json': No such file or directory
2025-08-14T21:28:59.2028268Z ##[group]Run .github/scripts/parse_ref.py
2025-08-14T21:28:59.2028552Z .github/scripts/parse_ref.py
2025-08-14T21:28:59.2033416Z shell: /usr/bin/bash -e {0}
2025-08-14T21:28:59.2033617Z env:
2025-08-14T21:28:59.2033785Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:28:59.2033969Z ##[endgroup]
2025-08-14T21:28:59.2231944Z Setting output branch=main
2025-08-14T21:28:59.2324369Z Prepare all required actions
2025-08-14T21:28:59.2324733Z Getting action download info
2025-08-14T21:28:59.3598203Z ##[group]Run ./.github/actions/filter-test-configs
2025-08-14T21:28:59.3598528Z with:
2025-08-14T21:28:59.3599008Z   github-token: ***
2025-08-14T21:28:59.3600909Z   test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}
2025-08-14T21:28:59.3602973Z   job-name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-14T21:28:59.3603401Z env:
2025-08-14T21:28:59.3603578Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:28:59.3603792Z ##[endgroup]
2025-08-14T21:28:59.3644765Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-14T21:28:59.3645229Z with:
2025-08-14T21:28:59.3645452Z   shell: bash
2025-08-14T21:28:59.3645691Z   timeout_minutes: 10
2025-08-14T21:28:59.3645932Z   max_attempts: 5
2025-08-14T21:28:59.3646180Z   retry_wait_seconds: 30
2025-08-14T21:28:59.3646908Z   command: set -eux
# PyYAML 6.0 doesn't work with MacOS x86 anymore
# This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2
python3 -m pip install requests==2.27.1 pyyaml==6.0.2

2025-08-14T21:28:59.3647668Z   polling_interval_seconds: 1
2025-08-14T21:28:59.3647959Z   warning_on_retry: true
2025-08-14T21:28:59.3648210Z   continue_on_error: false
2025-08-14T21:28:59.3648489Z env:
2025-08-14T21:28:59.3648702Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:28:59.3649219Z   GITHUB_TOKEN: ***
2025-08-14T21:28:59.3649456Z ##[endgroup]
2025-08-14T21:28:59.4590141Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-08-14T21:28:59.6532647Z Defaulting to user installation because normal site-packages is not writeable
2025-08-14T21:28:59.8275908Z Collecting requests==2.27.1
2025-08-14T21:28:59.8423861Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-08-14T21:29:00.1014001Z Collecting pyyaml==6.0.2
2025-08-14T21:29:00.1086725Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-08-14T21:29:00.2021581Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-08-14T21:29:00.2955988Z Collecting certifi>=2017.4.17
2025-08-14T21:29:00.3000197Z   Downloading certifi-2025.8.3-py3-none-any.whl (161 kB)
2025-08-14T21:29:00.3676576Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-08-14T21:29:00.6885768Z Collecting charset-normalizer~=2.0.0
2025-08-14T21:29:00.6929154Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-08-14T21:29:00.8266217Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-08-14T21:29:01.3244203Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-08-14T21:29:01.4321698Z Command completed after 1 attempt(s).
2025-08-14T21:29:01.4570841Z ##[group]Run set -x
2025-08-14T21:29:01.4571071Z set -x
2025-08-14T21:29:01.4571241Z 
2025-08-14T21:29:01.4571508Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-14T21:29:01.4571829Z # in runner workspace
2025-08-14T21:29:01.4572266Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-08-14T21:29:01.4577582Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:29:01.4577839Z env:
2025-08-14T21:29:01.4578012Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:29:01.4578203Z ##[endgroup]
2025-08-14T21:29:01.4605071Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-08-14T21:29:01.4759626Z Setting output branch=main
2025-08-14T21:29:01.5010068Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-14T21:29:01.5010384Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-14T21:29:01.5010637Z echo "Job name: ${JOB_NAME}"
2025-08-14T21:29:01.5010843Z 
2025-08-14T21:29:01.5011096Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-14T21:29:01.5011408Z # in runner workspace
2025-08-14T21:29:01.5011696Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-08-14T21:29:01.5011999Z   --workflow "${GITHUB_WORKFLOW}" \
2025-08-14T21:29:01.5012208Z   --job-name "${JOB_NAME}" \
2025-08-14T21:29:01.5013806Z   --test-matrix "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}" \
2025-08-14T21:29:01.5015592Z   --selected-test-configs "" \
2025-08-14T21:29:01.5015831Z   --pr-number "${PR_NUMBER}" \
2025-08-14T21:29:01.5016051Z   --tag "${TAG}" \
2025-08-14T21:29:01.5016265Z   --event-name "${EVENT_NAME}" \
2025-08-14T21:29:01.5016480Z   --schedule "${SCHEDULE}" \
2025-08-14T21:29:01.5016699Z   --branch "${HEAD_BRANCH}"
2025-08-14T21:29:01.5021551Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:29:01.5021805Z env:
2025-08-14T21:29:01.5021977Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:29:01.5022623Z   GITHUB_TOKEN: ***
2025-08-14T21:29:01.5023012Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-14T21:29:01.5023391Z   PR_NUMBER: 
2025-08-14T21:29:01.5023557Z   TAG: 
2025-08-14T21:29:01.5023716Z   EVENT_NAME: push
2025-08-14T21:29:01.5023880Z   SCHEDULE: 
2025-08-14T21:29:01.5024052Z   HEAD_BRANCH: main
2025-08-14T21:29:01.5024226Z ##[endgroup]
2025-08-14T21:29:01.5050450Z Workflow: inductor
2025-08-14T21:29:01.5050907Z Job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-14T21:29:01.6695237Z Setting output keep-going=True
2025-08-14T21:29:01.6695603Z Setting output ci-verbose-test-logs=False
2025-08-14T21:29:01.6695966Z Setting output ci-test-showlocals=False
2025-08-14T21:29:01.6696319Z Setting output ci-no-test-timeout=False
2025-08-14T21:29:01.6696621Z Setting output ci-no-td=False
2025-08-14T21:29:01.6696880Z Setting output ci-td-distributed=False
2025-08-14T21:29:01.6697113Z Setting output is-unstable=False
2025-08-14T21:29:01.6697330Z Setting output reenabled-issues=
2025-08-14T21:29:01.6699419Z Setting output test-matrix={"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}
2025-08-14T21:29:01.6701372Z Setting output is-test-matrix-empty=False
2025-08-14T21:29:01.6978079Z ##[group]Run echo "Filtered matrix:"
2025-08-14T21:29:01.6978346Z echo "Filtered matrix:"
2025-08-14T21:29:01.6980041Z echo "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}"
2025-08-14T21:29:01.6981849Z 
2025-08-14T21:29:01.6982013Z echo
2025-08-14T21:29:01.6982224Z echo "Is the current job unstable? False"
2025-08-14T21:29:01.6982458Z 
2025-08-14T21:29:01.6982613Z echo
2025-08-14T21:29:01.6982813Z echo "Is keep-going label set? True"
2025-08-14T21:29:01.6983033Z 
2025-08-14T21:29:01.6983189Z echo
2025-08-14T21:29:01.6983366Z echo "Reenabled issues? "
2025-08-14T21:29:01.6988304Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:29:01.6988567Z env:
2025-08-14T21:29:01.6988741Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:29:01.6988929Z ##[endgroup]
2025-08-14T21:29:01.7015188Z Filtered matrix:
2025-08-14T21:29:01.7016897Z {include: [{config: cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: inductor_torchbench_cpu_smoketest_perf, shard: 1, num_shards: 1, runner: linux.24xl.spr-metal}]}
2025-08-14T21:29:01.7018467Z 
2025-08-14T21:29:01.7018559Z Is the current job unstable? False
2025-08-14T21:29:01.7018711Z 
2025-08-14T21:29:01.7018796Z Is keep-going label set? True
2025-08-14T21:29:01.7018928Z 
2025-08-14T21:29:01.7019009Z Reenabled issues? 
2025-08-14T21:29:01.7209280Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-14T21:29:01.7209997Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-14T21:29:01.7214914Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:29:01.7215180Z env:
2025-08-14T21:29:01.7215353Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:29:01.7215536Z   JOB_TIMEOUT: 240
2025-08-14T21:29:01.7215710Z ##[endgroup]
2025-08-14T21:29:01.7427852Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:29:01.7428213Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:29:01.7428495Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:29:01.7433241Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:29:01.7433485Z env:
2025-08-14T21:29:01.7433642Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:29:01.7433812Z ##[endgroup]
2025-08-14T21:29:01.7628732Z ##[group]Run set -x
2025-08-14T21:29:01.7629042Z set -x
2025-08-14T21:29:01.7629210Z 
2025-08-14T21:29:01.7629410Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-08-14T21:29:01.7629692Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-08-14T21:29:01.7629966Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-08-14T21:29:01.7630221Z   TEST_COMMAND=.ci/onnx/test.sh
2025-08-14T21:29:01.7630439Z else
2025-08-14T21:29:01.7630632Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-08-14T21:29:01.7630844Z fi
2025-08-14T21:29:01.7631003Z 
2025-08-14T21:29:01.7631200Z # Leaving 1GB for the runner and other things
2025-08-14T21:29:01.7631576Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-08-14T21:29:01.7632166Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-08-14T21:29:01.7632640Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-08-14T21:29:01.7633104Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-08-14T21:29:01.7633376Z 
2025-08-14T21:29:01.7633563Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-14T21:29:01.7633781Z   SHM_OPTS=
2025-08-14T21:29:01.7633957Z   JENKINS_USER=
2025-08-14T21:29:01.7634195Z   # ensure that docker container cleanly exits in 12 hours
2025-08-14T21:29:01.7634484Z   # if for some reason cleanup action doesn't stop container
2025-08-14T21:29:01.7634737Z   # when job is cancelled
2025-08-14T21:29:01.7634944Z   DOCKER_SHELL_CMD="sleep 12h"
2025-08-14T21:29:01.7635153Z else
2025-08-14T21:29:01.7635335Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-08-14T21:29:01.7635569Z   JENKINS_USER="--user jenkins"
2025-08-14T21:29:01.7635788Z   DOCKER_SHELL_CMD=
2025-08-14T21:29:01.7635970Z fi
2025-08-14T21:29:01.7636125Z 
2025-08-14T21:29:01.7636361Z # detached container should get cleaned up by teardown_ec2_linux
2025-08-14T21:29:01.7636721Z # TODO: Stop building test binaries as part of the build phase
2025-08-14T21:29:01.7637106Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-08-14T21:29:01.7637446Z # shellcheck disable=SC2086,SC2090
2025-08-14T21:29:01.7637679Z container_name=$(docker run \
2025-08-14T21:29:01.7637891Z   ${GPU_FLAG:-} \
2025-08-14T21:29:01.7638110Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-08-14T21:29:01.7638348Z   -e BUILD_ENVIRONMENT \
2025-08-14T21:29:01.7638540Z   -e PR_NUMBER \
2025-08-14T21:29:01.7638731Z   -e GITHUB_ACTIONS \
2025-08-14T21:29:01.7638933Z   -e GITHUB_REPOSITORY \
2025-08-14T21:29:01.7639146Z   -e GITHUB_WORKFLOW \
2025-08-14T21:29:01.7639339Z   -e GITHUB_JOB \
2025-08-14T21:29:01.7639534Z   -e GITHUB_RUN_ID \
2025-08-14T21:29:01.7639728Z   -e GITHUB_RUN_NUMBER \
2025-08-14T21:29:01.7639925Z   -e GITHUB_RUN_ATTEMPT \
2025-08-14T21:29:01.7640127Z   -e JOB_ID \
2025-08-14T21:29:01.7640310Z   -e JOB_NAME \
2025-08-14T21:29:01.7640488Z   -e BASE_SHA \
2025-08-14T21:29:01.7640669Z   -e BRANCH \
2025-08-14T21:29:01.7640843Z   -e SHA1 \
2025-08-14T21:29:01.7641018Z   -e AWS_DEFAULT_REGION \
2025-08-14T21:29:01.7641225Z   -e IN_WHEEL_TEST \
2025-08-14T21:29:01.7641417Z   -e SHARD_NUMBER \
2025-08-14T21:29:01.7641609Z   -e TEST_CONFIG \
2025-08-14T21:29:01.7641796Z   -e NUM_TEST_SHARDS \
2025-08-14T21:29:01.7642001Z   -e REENABLED_ISSUES \
2025-08-14T21:29:01.7642213Z   -e CONTINUE_THROUGH_ERROR \
2025-08-14T21:29:01.7642515Z   -e VERBOSE_TEST_LOGS \
2025-08-14T21:29:01.7642727Z   -e TEST_SHOWLOCALS \
2025-08-14T21:29:01.7642931Z   -e NO_TEST_TIMEOUT \
2025-08-14T21:29:01.7643116Z   -e NO_TD \
2025-08-14T21:29:01.7643305Z   -e TD_DISTRIBUTED \
2025-08-14T21:29:01.7643505Z   -e PR_LABELS \
2025-08-14T21:29:01.7643720Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-08-14T21:29:01.7643949Z   -e SCCACHE_BUCKET \
2025-08-14T21:29:01.7644156Z   -e SCCACHE_REGION \
2025-08-14T21:29:01.7644356Z   -e XLA_CUDA \
2025-08-14T21:29:01.7644561Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-08-14T21:29:01.7644811Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-08-14T21:29:01.7645069Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-08-14T21:29:01.7645319Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-08-14T21:29:01.7645560Z   -e HUGGING_FACE_HUB_TOKEN \
2025-08-14T21:29:01.7645797Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-08-14T21:29:01.7646022Z   -e DASHBOARD_TAG \
2025-08-14T21:29:01.7646282Z   -e ARTIFACTS_FILE_SUFFIX \
2025-08-14T21:29:01.7646536Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-08-14T21:29:01.7646824Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-08-14T21:29:01.7647103Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-08-14T21:29:01.7647374Z   --security-opt seccomp=unconfined \
2025-08-14T21:29:01.7647611Z   --cap-add=SYS_PTRACE \
2025-08-14T21:29:01.7647821Z   --ipc=host \
2025-08-14T21:29:01.7648002Z   ${SHM_OPTS} \
2025-08-14T21:29:01.7648188Z   --tty \
2025-08-14T21:29:01.7648369Z   --detach \
2025-08-14T21:29:01.7648561Z   --name="${container_name}" \
2025-08-14T21:29:01.7648787Z   ${JENKINS_USER} \
2025-08-14T21:29:01.7649034Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-08-14T21:29:01.7649304Z   -w /var/lib/jenkins/workspace \
2025-08-14T21:29:01.7649893Z   "${DOCKER_IMAGE}" \
2025-08-14T21:29:01.7650103Z   ${DOCKER_SHELL_CMD}
2025-08-14T21:29:01.7650286Z )
2025-08-14T21:29:01.7650507Z # Propagate download.pytorch.org IP to container
2025-08-14T21:29:01.7650952Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts"
2025-08-14T21:29:01.7651412Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-08-14T21:29:01.7651680Z 
2025-08-14T21:29:01.7651879Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-14T21:29:01.7652263Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-08-14T21:29:01.7652603Z fi
2025-08-14T21:29:01.7652753Z 
2025-08-14T21:29:01.7653087Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-08-14T21:29:01.7658342Z shell: /usr/bin/bash -e {0}
2025-08-14T21:29:01.7658538Z env:
2025-08-14T21:29:01.7658714Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:29:01.7658955Z   BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build
2025-08-14T21:29:01.7659192Z   PR_NUMBER: 
2025-08-14T21:29:01.7659381Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-08-14T21:29:01.7659604Z   GITHUB_WORKFLOW: inductor
2025-08-14T21:29:01.7659790Z   GITHUB_JOB: test
2025-08-14T21:29:01.7659971Z   GITHUB_RUN_ID: 16976255153
2025-08-14T21:29:01.7660168Z   GITHUB_RUN_NUMBER: 147536
2025-08-14T21:29:01.7660364Z   GITHUB_RUN_ATTEMPT: 1
2025-08-14T21:29:01.7660544Z   JOB_ID: 48128039112
2025-08-14T21:29:01.7660917Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-14T21:29:01.7661303Z   BRANCH: main
2025-08-14T21:29:01.7661492Z   SHA1: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:29:01.7661838Z   BASE_SHA: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:29:01.7662311Z   TEST_CONFIG: dynamic_cpu_inductor_torchbench
2025-08-14T21:29:01.7662542Z   SHARD_NUMBER: 1
2025-08-14T21:29:01.7662724Z   NUM_TEST_SHARDS: 2
2025-08-14T21:29:01.7662906Z   REENABLED_ISSUES: 
2025-08-14T21:29:01.7663098Z   CONTINUE_THROUGH_ERROR: True
2025-08-14T21:29:01.7663299Z   VERBOSE_TEST_LOGS: False
2025-08-14T21:29:01.7663519Z   TEST_SHOWLOCALS: False
2025-08-14T21:29:01.7663714Z   NO_TEST_TIMEOUT: False
2025-08-14T21:29:01.7663904Z   NO_TD: False
2025-08-14T21:29:01.7664062Z   TD_DISTRIBUTED: False
2025-08-14T21:29:01.7664282Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-08-14T21:29:01.7664532Z   SCCACHE_REGION: us-east-1
2025-08-14T21:29:01.7664714Z   SHM_SIZE: 1g
2025-08-14T21:29:01.7665244Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:29:01.7665807Z   XLA_CUDA: 
2025-08-14T21:29:01.7666060Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-08-14T21:29:01.7666468Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-08-14T21:29:01.7666688Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-08-14T21:29:01.7666896Z   DASHBOARD_TAG: 
2025-08-14T21:29:01.7667291Z   HUGGING_FACE_HUB_TOKEN: ***
2025-08-14T21:29:01.7667578Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-08-14T21:29:01.7667918Z   ARTIFACTS_FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039112
2025-08-14T21:29:01.7668257Z ##[endgroup]
2025-08-14T21:29:01.7697312Z + [[ dynamic_cpu_inductor_torchbench == \m\u\l\t\i\g\p\u ]]
2025-08-14T21:29:01.7699289Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]]
2025-08-14T21:29:01.7699659Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-08-14T21:29:01.7707146Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-08-14T21:29:01.7718888Z + TOTAL_AVAILABLE_MEMORY_IN_GB='122.780 '
2025-08-14T21:29:01.7719188Z + TOTAL_MEMORY_WITH_SWAP=125
2025-08-14T21:29:01.7719858Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]]
2025-08-14T21:29:01.7720186Z + SHM_OPTS=--shm-size=1g
2025-08-14T21:29:01.7720392Z + JENKINS_USER='--user jenkins'
2025-08-14T21:29:01.7720601Z + DOCKER_SHELL_CMD=
2025-08-14T21:29:01.7726571Z +++ nproc --ignore=2
2025-08-14T21:29:01.8204790Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=30 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=122g --memory-swap=125g --env-file=/tmp/github_env_16976255153 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:29:15.2421775Z + container_name=fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T21:29:15.2425816Z + grep download.pytorch.org /etc/hosts
2025-08-14T21:29:15.2426278Z + docker exec -i fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10 sudo bash -c '/bin/cat >> /etc/hosts'
2025-08-14T21:29:15.3650539Z + echo DOCKER_CONTAINER_ID=fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T21:29:15.3652014Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]]
2025-08-14T21:29:15.3655208Z ++ echo dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl
2025-08-14T21:29:15.3657418Z + docker exec -t fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-08-14T21:29:15.7364694Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git1fc683c)
2025-08-14T21:29:15.9689361Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.18.0)
2025-08-14T21:29:15.9690420Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (4.14.1)
2025-08-14T21:29:15.9696907Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.13.3)
2025-08-14T21:29:15.9698159Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2.8.8)
2025-08-14T21:29:15.9703853Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.1.6)
2025-08-14T21:29:15.9704664Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2025.3.0)
2025-08-14T21:29:15.9716134Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.3.0)
2025-08-14T21:29:16.0033075Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.22.4)
2025-08-14T21:29:16.0045589Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.3.0)
2025-08-14T21:29:16.0107914Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from jinja2->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.0.2)
2025-08-14T21:29:16.8344339Z Installing collected packages: torch
2025-08-14T21:29:24.7449579Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
2025-08-14T21:29:24.7450458Z dall-e 0.1 requires torchvision, which is not installed.
2025-08-14T21:29:24.7450779Z effdet 0.4.1 requires torchvision, which is not installed.
2025-08-14T21:29:24.7451171Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed.
2025-08-14T21:29:24.7451775Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed.
2025-08-14T21:29:24.7452309Z timm 1.0.14 requires torchvision, which is not installed.
2025-08-14T21:29:24.7452704Z Successfully installed torch-2.9.0a0+git1fc683c
2025-08-14T21:29:24.8699252Z + export TERM=vt100
2025-08-14T21:29:24.8699514Z + TERM=vt100
2025-08-14T21:29:24.8699929Z ++ dirname .ci/pytorch/test.sh
2025-08-14T21:29:24.8713412Z + source .ci/pytorch/common.sh
2025-08-14T21:29:24.8717921Z +++ dirname .ci/pytorch/common.sh
2025-08-14T21:29:24.8722508Z ++ source .ci/pytorch/common_utils.sh
2025-08-14T21:29:24.8726854Z +++ declare -f -t trap_add
2025-08-14T21:29:24.8727254Z ++ set -ex -o pipefail
2025-08-14T21:29:24.8727510Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]]
2025-08-14T21:29:24.8727772Z ++ BUILD_TEST_LIBTORCH=0
2025-08-14T21:29:24.8728114Z ++ dirname .ci/pytorch/test.sh
2025-08-14T21:29:24.8736511Z + source .ci/pytorch/common-build.sh
2025-08-14T21:29:24.8738331Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]]
2025-08-14T21:29:24.8742300Z ++++ dirname .ci/pytorch/common-build.sh
2025-08-14T21:29:24.8747294Z +++ cd .ci/pytorch
2025-08-14T21:29:24.8747623Z +++ pwd -P
2025-08-14T21:29:24.8752248Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-08-14T21:29:24.8752579Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]]
2025-08-14T21:29:24.8752818Z ++ which sccache
2025-08-14T21:29:24.8769245Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-08-14T21:29:24.8769527Z ++ sccache --stop-server
2025-08-14T21:29:24.8796551Z ++ true
2025-08-14T21:29:24.8796787Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-08-14T21:29:24.8806718Z ++ trap_add sccache_epilogue EXIT
2025-08-14T21:29:24.8807018Z ++ trap_add_cmd=sccache_epilogue
2025-08-14T21:29:24.8807221Z ++ shift
2025-08-14T21:29:24.8807408Z ++ for trap_add_name in "$@"
2025-08-14T21:29:24.8814273Z ++++ trap -p EXIT
2025-08-14T21:29:24.8821598Z +++ eval 'extract_trap_cmd '
2025-08-14T21:29:24.8824985Z ++++ extract_trap_cmd
2025-08-14T21:29:24.8825194Z ++++ printf '%s\n' ''
2025-08-14T21:29:24.8825671Z +++ printf '%s\n' sccache_epilogue
2025-08-14T21:29:24.8825901Z ++ trap -- '
2025-08-14T21:29:24.8826080Z sccache_epilogue' EXIT
2025-08-14T21:29:24.8826257Z ++ [[ -n 1 ]]
2025-08-14T21:29:24.8826532Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-08-14T21:29:24.8826931Z Skipping sccache server initialization, setting environment variables
2025-08-14T21:29:24.8827241Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-08-14T21:29:24.8827449Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-08-14T21:29:24.8827705Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T21:29:24.8828158Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T21:29:24.8828469Z ++ export RUST_LOG=sccache::server=error
2025-08-14T21:29:24.8828702Z ++ RUST_LOG=sccache::server=error
2025-08-14T21:29:24.8828915Z ++ sccache --zero-stats
2025-08-14T21:29:25.0544933Z Statistics zeroed.
2025-08-14T21:29:25.0550993Z ++ which ccache
2025-08-14T21:29:25.0581207Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]]
2025-08-14T21:29:25.0581581Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]]
2025-08-14T21:29:25.0581855Z + [[ -d /var/lib/jenkins/workspace ]]
2025-08-14T21:29:25.0582095Z ++ stat -c %u /var/lib/jenkins/workspace
2025-08-14T21:29:25.0594930Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-08-14T21:29:25.0595792Z + trap_add cleanup_workspace EXIT
2025-08-14T21:29:25.0596225Z + trap_add_cmd=cleanup_workspace
2025-08-14T21:29:25.0598688Z + shift
2025-08-14T21:29:25.0598880Z + for trap_add_name in "$@"
2025-08-14T21:29:25.0602703Z +++ trap -p EXIT
2025-08-14T21:29:25.0602952Z ++ eval 'extract_trap_cmd trap -- '\''
2025-08-14T21:29:25.0603192Z sccache_epilogue'\'' EXIT'
2025-08-14T21:29:25.0604441Z +++ extract_trap_cmd trap -- '
2025-08-14T21:29:25.0604693Z sccache_epilogue' EXIT
2025-08-14T21:29:25.0604887Z +++ printf '%s\n' '
2025-08-14T21:29:25.0605074Z sccache_epilogue'
2025-08-14T21:29:25.0605308Z ++ printf '%s\n' cleanup_workspace
2025-08-14T21:29:25.0605940Z + trap -- '
2025-08-14T21:29:25.0606570Z sccache_epilogue
2025-08-14T21:29:25.0606815Z cleanup_workspace' EXIT
2025-08-14T21:29:25.0607093Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-08-14T21:29:25.5169655Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-08-14T21:29:25.5193491Z + echo 'Environment variables:'
2025-08-14T21:29:25.5193771Z Environment variables:
2025-08-14T21:29:25.5193969Z + env
2025-08-14T21:29:25.5200347Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T21:29:25.5200672Z CONTINUE_THROUGH_ERROR=True
2025-08-14T21:29:25.5201018Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build
2025-08-14T21:29:25.5201284Z HOSTNAME=fe3fa94464c2
2025-08-14T21:29:25.5201736Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_f91a3b86-5340-4fd6-99d4-47f9f54a15af
2025-08-14T21:29:25.5202143Z GITHUB_ACTION=__run_2
2025-08-14T21:29:25.5202765Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-14T21:29:25.5202988Z GITHUB_RUN_NUMBER=147536
2025-08-14T21:29:25.5203226Z TEST_CONFIG=dynamic_cpu_inductor_torchbench
2025-08-14T21:29:25.5203639Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-14T21:29:25.5203887Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-14T21:29:25.5204106Z SCCACHE_IDLE_TIMEOUT=0
2025-08-14T21:29:25.5204624Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-14T21:29:25.5204867Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-14T21:29:25.5205087Z GITHUB_REF_TYPE=branch
2025-08-14T21:29:25.5205445Z TORCH_CUDA_ARCH_LIST=Maxwell
2025-08-14T21:29:25.5205695Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:29:25.5205921Z XLA_CUDA=
2025-08-14T21:29:25.5206177Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-14T21:29:25.5206492Z HUGGING_FACE_HUB_TOKEN=***
2025-08-14T21:29:25.5211418Z ***
2025-08-14T21:29:25.5211699Z GITHUB_REPOSITORY_ID=65600975
2025-08-14T21:29:25.5211937Z GITHUB_ACTIONS=true
2025-08-14T21:29:25.5212193Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T21:29:25.5212519Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:29:25.5213009Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:29:25.5213371Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-08-14T21:29:25.5213700Z UCC_HOME=/usr
2025-08-14T21:29:25.5213867Z VERBOSE_TEST_LOGS=False
2025-08-14T21:29:25.5214065Z GITHUB_REF=refs/heads/main
2025-08-14T21:29:25.5214260Z SHARD_NUMBER=1
2025-08-14T21:29:25.5214432Z GITHUB_REF_PROTECTED=true
2025-08-14T21:29:25.5214629Z HOME=/var/lib/jenkins
2025-08-14T21:29:25.5214843Z GITHUB_API_URL=https://api.github.com
2025-08-14T21:29:25.5215078Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-14T21:29:25.5215295Z UCX_COMMIT=
2025-08-14T21:29:25.5215461Z USE_SYSTEM_NCCL=1
2025-08-14T21:29:25.5215632Z NUM_TEST_SHARDS=2
2025-08-14T21:29:25.5215804Z UCX_HOME=/usr
2025-08-14T21:29:25.5216199Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_f91a3b86-5340-4fd6-99d4-47f9f54a15af
2025-08-14T21:29:25.5216813Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-14T21:29:25.5217390Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_f91a3b86-5340-4fd6-99d4-47f9f54a15af
2025-08-14T21:29:25.5217906Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-14T21:29:25.5218232Z GITHUB_EVENT_NAME=push
2025-08-14T21:29:25.5218413Z DASHBOARD_TAG=
2025-08-14T21:29:25.5218593Z GITHUB_RUN_ID=16976255153
2025-08-14T21:29:25.5218785Z INSTALLED_OPENBLAS=
2025-08-14T21:29:25.5219179Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_f91a3b86-5340-4fd6-99d4-47f9f54a15af
2025-08-14T21:29:25.5219622Z GITHUB_ACTOR=pytorchmergebot
2025-08-14T21:29:25.5219819Z PR_NUMBER=
2025-08-14T21:29:25.5219977Z DESIRED_CUDA=
2025-08-14T21:29:25.5220139Z GITHUB_RUN_ATTEMPT=1
2025-08-14T21:29:25.5220337Z ANACONDA_PYTHON_VERSION=3.9
2025-08-14T21:29:25.5220575Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-14T21:29:25.5220808Z TERM=vt100
2025-08-14T21:29:25.5220973Z INSTALLED_VISION=yes
2025-08-14T21:29:25.5221149Z BRANCH=main
2025-08-14T21:29:25.5221311Z SCCACHE_REGION=us-east-1
2025-08-14T21:29:25.5221516Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-14T21:29:25.5221728Z CUDA_PATH=/usr/local/cuda
2025-08-14T21:29:25.5222077Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-14T21:29:25.5222475Z GITHUB_SERVER_URL=https://github.com
2025-08-14T21:29:25.5222696Z UCC_COMMIT=
2025-08-14T21:29:25.5222848Z REENABLED_ISSUES=
2025-08-14T21:29:25.5223016Z DOCS=yes
2025-08-14T21:29:25.5223184Z SHLVL=1
2025-08-14T21:29:25.5223323Z MAX_JOBS=30
2025-08-14T21:29:25.5223487Z GITHUB_ACTOR_ID=97764156
2025-08-14T21:29:25.5223725Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:29:25.5223981Z GITHUB_REF_NAME=main
2025-08-14T21:29:25.5224316Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-14T21:29:25.5224613Z GITHUB_JOB=test
2025-08-14T21:29:25.5224786Z NO_TEST_TIMEOUT=False
2025-08-14T21:29:25.5224973Z TD_DISTRIBUTED=False
2025-08-14T21:29:25.5225168Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-14T21:29:25.5225384Z GITHUB_RETENTION_DAYS=90
2025-08-14T21:29:25.5225569Z OPENSSL_DIR=/opt/openssl
2025-08-14T21:29:25.5225758Z GITHUB_ACTION_REPOSITORY=
2025-08-14T21:29:25.5226253Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-14T21:29:25.5226742Z GITHUB_BASE_REF=
2025-08-14T21:29:25.5226912Z INSTALLED_ACL=
2025-08-14T21:29:25.5227223Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039112
2025-08-14T21:29:25.5227558Z CI=true
2025-08-14T21:29:25.5227719Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-14T21:29:25.5227982Z RUST_LOG=sccache::server=error
2025-08-14T21:29:25.5228186Z JOB_ID=48128039112
2025-08-14T21:29:25.5228345Z GITHUB_HEAD_REF=
2025-08-14T21:29:25.5228574Z GITHUB_ACTION_REF=
2025-08-14T21:29:25.5228786Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-14T21:29:25.5229017Z TEST_SHOWLOCALS=False
2025-08-14T21:29:25.5229199Z GITHUB_WORKFLOW=inductor
2025-08-14T21:29:25.5229391Z DEBIAN_FRONTEND=noninteractive
2025-08-14T21:29:25.5229779Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_f91a3b86-5340-4fd6-99d4-47f9f54a15af
2025-08-14T21:29:25.5230173Z NO_TD=False
2025-08-14T21:29:25.5230346Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-14T21:29:25.5230551Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-14T21:29:25.5230768Z _=/usr/bin/env
2025-08-14T21:29:25.5231008Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-08-14T21:29:25.5484760Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch
2025-08-14T21:29:25.5485217Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin
2025-08-14T21:29:25.5485749Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib
2025-08-14T21:29:25.5486162Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test
2025-08-14T21:29:25.5486468Z + BUILD_DIR=build
2025-08-14T21:29:25.5486658Z + BUILD_RENAMED_DIR=build_renamed
2025-08-14T21:29:25.5486879Z + BUILD_BIN_DIR=build/bin
2025-08-14T21:29:25.5487071Z + SHARD_NUMBER=1
2025-08-14T21:29:25.5487240Z + NUM_TEST_SHARDS=2
2025-08-14T21:29:25.5487439Z + export TORCH_SERIALIZATION_DEBUG=1
2025-08-14T21:29:25.5487665Z + TORCH_SERIALIZATION_DEBUG=1
2025-08-14T21:29:25.5487864Z + export VALGRIND=ON
2025-08-14T21:29:25.5488047Z + VALGRIND=ON
2025-08-14T21:29:25.5488257Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]]
2025-08-14T21:29:25.5488522Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]]
2025-08-14T21:29:25.5488800Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]]
2025-08-14T21:29:25.5489032Z + [[ 0 == \1 ]]
2025-08-14T21:29:25.5489197Z + [[ True == \1 ]]
2025-08-14T21:29:25.5489405Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]]
2025-08-14T21:29:25.5489665Z ++ realpath build/custom_test_artifacts
2025-08-14T21:29:25.5503068Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-08-14T21:29:25.5503846Z + [[ -n '' ]]
2025-08-14T21:29:25.5504082Z + echo 'Environment variables'
2025-08-14T21:29:25.5504313Z Environment variables
2025-08-14T21:29:25.5504501Z + env
2025-08-14T21:29:25.5526583Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T21:29:25.5526975Z CONTINUE_THROUGH_ERROR=True
2025-08-14T21:29:25.5527238Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build
2025-08-14T21:29:25.5527493Z HOSTNAME=fe3fa94464c2
2025-08-14T21:29:25.5527886Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_f91a3b86-5340-4fd6-99d4-47f9f54a15af
2025-08-14T21:29:25.5528423Z GITHUB_ACTION=__run_2
2025-08-14T21:29:25.5528703Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-14T21:29:25.5529357Z GITHUB_RUN_NUMBER=147536
2025-08-14T21:29:25.5529631Z TEST_CONFIG=dynamic_cpu_inductor_torchbench
2025-08-14T21:29:25.5530211Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-14T21:29:25.5530472Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-14T21:29:25.5530705Z SCCACHE_IDLE_TIMEOUT=0
2025-08-14T21:29:25.5531146Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-14T21:29:25.5531377Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-14T21:29:25.5531601Z GITHUB_REF_TYPE=branch
2025-08-14T21:29:25.5531788Z TORCH_CUDA_ARCH_LIST=Maxwell
2025-08-14T21:29:25.5532020Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:29:25.5532254Z XLA_CUDA=
2025-08-14T21:29:25.5532425Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-14T21:29:25.5532710Z HUGGING_FACE_HUB_TOKEN=***
2025-08-14T21:29:25.5532960Z ***
2025-08-14T21:29:25.5533123Z GITHUB_REPOSITORY_ID=65600975
2025-08-14T21:29:25.5533316Z GITHUB_ACTIONS=true
2025-08-14T21:29:25.5533533Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T21:29:25.5533806Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:29:25.5534168Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:29:25.5534525Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-08-14T21:29:25.5534846Z UCC_HOME=/usr
2025-08-14T21:29:25.5535016Z TORCH_SERIALIZATION_DEBUG=1
2025-08-14T21:29:25.5535220Z VERBOSE_TEST_LOGS=False
2025-08-14T21:29:25.5535415Z GITHUB_REF=refs/heads/main
2025-08-14T21:29:25.5535598Z SHARD_NUMBER=1
2025-08-14T21:29:25.5535781Z GITHUB_REF_PROTECTED=true
2025-08-14T21:29:25.5536110Z HOME=/var/lib/jenkins
2025-08-14T21:29:25.5536320Z GITHUB_API_URL=https://api.github.com
2025-08-14T21:29:25.5536568Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-14T21:29:25.5536780Z UCX_COMMIT=
2025-08-14T21:29:25.5536940Z USE_SYSTEM_NCCL=1
2025-08-14T21:29:25.5537119Z NUM_TEST_SHARDS=2
2025-08-14T21:29:25.5537291Z UCX_HOME=/usr
2025-08-14T21:29:25.5537681Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_f91a3b86-5340-4fd6-99d4-47f9f54a15af
2025-08-14T21:29:25.5538285Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-14T21:29:25.5538868Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_f91a3b86-5340-4fd6-99d4-47f9f54a15af
2025-08-14T21:29:25.5539381Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-14T21:29:25.5539699Z GITHUB_EVENT_NAME=push
2025-08-14T21:29:25.5539884Z DASHBOARD_TAG=
2025-08-14T21:29:25.5540058Z GITHUB_RUN_ID=16976255153
2025-08-14T21:29:25.5540252Z INSTALLED_OPENBLAS=
2025-08-14T21:29:25.5540649Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_f91a3b86-5340-4fd6-99d4-47f9f54a15af
2025-08-14T21:29:25.5541109Z GITHUB_ACTOR=pytorchmergebot
2025-08-14T21:29:25.5541310Z PR_NUMBER=
2025-08-14T21:29:25.5541462Z DESIRED_CUDA=
2025-08-14T21:29:25.5541633Z GITHUB_RUN_ATTEMPT=1
2025-08-14T21:29:25.5541817Z VALGRIND=ON
2025-08-14T21:29:25.5541981Z ANACONDA_PYTHON_VERSION=3.9
2025-08-14T21:29:25.5542223Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-14T21:29:25.5542464Z TERM=vt100
2025-08-14T21:29:25.5542619Z INSTALLED_VISION=yes
2025-08-14T21:29:25.5542799Z BRANCH=main
2025-08-14T21:29:25.5542967Z SCCACHE_REGION=us-east-1
2025-08-14T21:29:25.5543172Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-14T21:29:25.5543371Z CUDA_PATH=/usr/local/cuda
2025-08-14T21:29:25.5543720Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-14T21:29:25.5544099Z GITHUB_SERVER_URL=https://github.com
2025-08-14T21:29:25.5544308Z UCC_COMMIT=
2025-08-14T21:29:25.5544469Z REENABLED_ISSUES=
2025-08-14T21:29:25.5544637Z DOCS=yes
2025-08-14T21:29:25.5544784Z SHLVL=1
2025-08-14T21:29:25.5544937Z MAX_JOBS=30
2025-08-14T21:29:25.5545100Z GITHUB_ACTOR_ID=97764156
2025-08-14T21:29:25.5545335Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:29:25.5545662Z GITHUB_REF_NAME=main
2025-08-14T21:29:25.5545944Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-14T21:29:25.5546229Z GITHUB_JOB=test
2025-08-14T21:29:25.5546401Z NO_TEST_TIMEOUT=False
2025-08-14T21:29:25.5546583Z TD_DISTRIBUTED=False
2025-08-14T21:29:25.5546766Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-14T21:29:25.5546982Z GITHUB_RETENTION_DAYS=90
2025-08-14T21:29:25.5547178Z OPENSSL_DIR=/opt/openssl
2025-08-14T21:29:25.5547374Z GITHUB_ACTION_REPOSITORY=
2025-08-14T21:29:25.5547873Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-14T21:29:25.5548366Z GITHUB_BASE_REF=
2025-08-14T21:29:25.5548539Z INSTALLED_ACL=
2025-08-14T21:29:25.5548878Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039112
2025-08-14T21:29:25.5549215Z CI=true
2025-08-14T21:29:25.5549384Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-14T21:29:25.5549652Z RUST_LOG=sccache::server=error
2025-08-14T21:29:25.5549847Z JOB_ID=48128039112
2025-08-14T21:29:25.5550075Z GITHUB_HEAD_REF=
2025-08-14T21:29:25.5550248Z GITHUB_ACTION_REF=
2025-08-14T21:29:25.5550455Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-14T21:29:25.5550704Z TEST_SHOWLOCALS=False
2025-08-14T21:29:25.5550892Z GITHUB_WORKFLOW=inductor
2025-08-14T21:29:25.5551087Z DEBIAN_FRONTEND=noninteractive
2025-08-14T21:29:25.5551494Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_f91a3b86-5340-4fd6-99d4-47f9f54a15af
2025-08-14T21:29:25.5551895Z NO_TD=False
2025-08-14T21:29:25.5552062Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-14T21:29:25.5552289Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-14T21:29:25.5552510Z _=/usr/bin/env
2025-08-14T21:29:25.5552682Z + echo 'Testing pytorch'
2025-08-14T21:29:25.5552862Z Testing pytorch
2025-08-14T21:29:25.5553059Z + export LANG=C.UTF-8
2025-08-14T21:29:25.5553234Z + LANG=C.UTF-8
2025-08-14T21:29:25.5553391Z + PR_NUMBER=
2025-08-14T21:29:25.5553601Z + [[ dynamic_cpu_inductor_torchbench == \d\e\f\a\u\l\t ]]
2025-08-14T21:29:25.5553916Z + [[ dynamic_cpu_inductor_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-08-14T21:29:25.5554197Z + [[ dynamic_cpu_inductor_torchbench == \s\l\o\w ]]
2025-08-14T21:29:25.5554481Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]]
2025-08-14T21:29:25.5554765Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]]
2025-08-14T21:29:25.5555014Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]]
2025-08-14T21:29:25.5555267Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]]
2025-08-14T21:29:25.5555530Z + [[ dynamic_cpu_inductor_torchbench == *crossref* ]]
2025-08-14T21:29:25.5555790Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]]
2025-08-14T21:29:25.5556033Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]]
2025-08-14T21:29:25.5556291Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]]
2025-08-14T21:29:25.5556531Z + pip_install ninja==1.10.2
2025-08-14T21:29:25.5556789Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-08-14T21:29:25.5557103Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-08-14T21:29:25.9549853Z Collecting ninja==1.10.2
2025-08-14T21:29:25.9659197Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-08-14T21:29:25.9850441Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-08-14T21:29:26.8197908Z Installing collected packages: ninja
2025-08-14T21:29:26.8198231Z   Attempting uninstall: ninja
2025-08-14T21:29:26.8204099Z     Found existing installation: ninja 1.11.1.3
2025-08-14T21:29:26.8231952Z     Uninstalling ninja-1.11.1.3:
2025-08-14T21:29:26.8321249Z       Successfully uninstalled ninja-1.11.1.3
2025-08-14T21:29:26.9254895Z Successfully installed ninja-1.10.2
2025-08-14T21:29:27.0621473Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-14T21:29:27.0622589Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-14T21:29:27.0623234Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]]
2025-08-14T21:29:27.0623513Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]]
2025-08-14T21:29:27.0623788Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]]
2025-08-14T21:29:27.0624067Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]]
2025-08-14T21:29:27.0624447Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass'
2025-08-14T21:29:27.0624899Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass
2025-08-14T21:29:27.0625212Z + cd test
2025-08-14T21:29:27.0625480Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-08-14T21:29:28.4391762Z + [[ dynamic_cpu_inductor_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-08-14T21:29:28.4395330Z + [[ dynamic_cpu_inductor_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-08-14T21:29:28.4396126Z + [[ dynamic_cpu_inductor_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-08-14T21:29:28.4396471Z + DYNAMO_BENCHMARK_FLAGS=()
2025-08-14T21:29:28.4396753Z + [[ dynamic_cpu_inductor_torchbench == *pr_time_benchmarks* ]]
2025-08-14T21:29:28.4397086Z + [[ dynamic_cpu_inductor_torchbench == *dynamo_eager* ]]
2025-08-14T21:29:28.4397376Z + [[ dynamic_cpu_inductor_torchbench == *aot_eager* ]]
2025-08-14T21:29:28.4397676Z + [[ dynamic_cpu_inductor_torchbench == *aot_inductor* ]]
2025-08-14T21:29:28.4398006Z + [[ dynamic_cpu_inductor_torchbench == *max_autotune_inductor* ]]
2025-08-14T21:29:28.4398349Z + [[ dynamic_cpu_inductor_torchbench == *inductor* ]]
2025-08-14T21:29:28.4398663Z + [[ dynamic_cpu_inductor_torchbench != *perf* ]]
2025-08-14T21:29:28.4399003Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor)
2025-08-14T21:29:28.4399312Z + [[ dynamic_cpu_inductor_torchbench == *dynamic* ]]
2025-08-14T21:29:28.4399673Z + DYNAMO_BENCHMARK_FLAGS+=(--dynamic-shapes --dynamic-batch-only)
2025-08-14T21:29:28.4400018Z + [[ dynamic_cpu_inductor_torchbench == *cpu* ]]
2025-08-14T21:29:28.4400288Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu)
2025-08-14T21:29:28.4637781Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]]
2025-08-14T21:29:28.4638181Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]]
2025-08-14T21:29:28.4638438Z + cd test
2025-08-14T21:29:28.4638674Z + python -c 'import torch; print(torch.__config__.show())'
2025-08-14T21:29:29.5390667Z PyTorch built with:
2025-08-14T21:29:29.5390949Z   - GCC 11.4
2025-08-14T21:29:29.5391134Z   - C++ Version: 201703
2025-08-14T21:29:29.5391542Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-14T21:29:29.5392045Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-14T21:29:29.5392364Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-14T21:29:29.5392646Z   - LAPACK is enabled (usually provided by MKL)
2025-08-14T21:29:29.5392904Z   - NNPACK is enabled
2025-08-14T21:29:29.5393109Z   - CPU capability usage: AVX512
2025-08-14T21:29:29.5396471Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=1fc683cf17c8c673044538d10266c00f92987be2, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 
2025-08-14T21:29:29.5399453Z 
2025-08-14T21:29:29.8153566Z + cd test
2025-08-14T21:29:29.8154671Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-08-14T21:29:30.8508266Z ATen/Parallel:
2025-08-14T21:29:30.8508778Z 	at::get_num_threads() : 16
2025-08-14T21:29:30.8509099Z 	at::get_num_interop_threads() : 16
2025-08-14T21:29:30.8514282Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-14T21:29:30.8518357Z 	omp_get_max_threads() : 16
2025-08-14T21:29:30.8518827Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-14T21:29:30.8519237Z 	mkl_get_max_threads() : 16
2025-08-14T21:29:30.8519558Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-14T21:29:30.8520280Z std::thread::hardware_concurrency() : 32
2025-08-14T21:29:30.8520503Z Environment variables:
2025-08-14T21:29:30.8520701Z 	OMP_NUM_THREADS : [not set]
2025-08-14T21:29:30.8520901Z 	MKL_NUM_THREADS : [not set]
2025-08-14T21:29:30.8521105Z ATen parallel backend: OpenMP
2025-08-14T21:29:30.8521234Z 
2025-08-14T21:29:31.1219546Z + [[ dynamic_cpu_inductor_torchbench == *numpy_2* ]]
2025-08-14T21:29:31.1219946Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]]
2025-08-14T21:29:31.1220240Z + [[ dynamic_cpu_inductor_torchbench == *backward* ]]
2025-08-14T21:29:31.1220503Z + [[ dynamic_cpu_inductor_torchbench == *xla* ]]
2025-08-14T21:29:31.1220781Z + [[ dynamic_cpu_inductor_torchbench == *executorch* ]]
2025-08-14T21:29:31.1221084Z + [[ dynamic_cpu_inductor_torchbench == \j\i\t\_\l\e\g\a\c\y ]]
2025-08-14T21:29:31.1221392Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]]
2025-08-14T21:29:31.1221709Z + [[ dynamic_cpu_inductor_torchbench == distributed ]]
2025-08-14T21:29:31.1222099Z + [[ dynamic_cpu_inductor_torchbench == *operator_benchmark* ]]
2025-08-14T21:29:31.1222484Z + [[ dynamic_cpu_inductor_torchbench == *inductor_distributed* ]]
2025-08-14T21:29:31.1222801Z + [[ dynamic_cpu_inductor_torchbench == *inductor-halide* ]]
2025-08-14T21:29:31.1223131Z + [[ dynamic_cpu_inductor_torchbench == *inductor-triton-cpu* ]]
2025-08-14T21:29:31.1223470Z + [[ dynamic_cpu_inductor_torchbench == *inductor-micro-benchmark* ]]
2025-08-14T21:29:31.1223801Z + [[ dynamic_cpu_inductor_torchbench == *huggingface* ]]
2025-08-14T21:29:31.1224075Z + [[ dynamic_cpu_inductor_torchbench == *timm* ]]
2025-08-14T21:29:31.1224355Z + [[ dynamic_cpu_inductor_torchbench == cachebench ]]
2025-08-14T21:29:31.1224643Z + [[ dynamic_cpu_inductor_torchbench == verify_cachebench ]]
2025-08-14T21:29:31.1224938Z + [[ dynamic_cpu_inductor_torchbench == *torchbench* ]]
2025-08-14T21:29:31.1225185Z + install_torchaudio
2025-08-14T21:29:31.1225375Z + local commit
2025-08-14T21:29:31.1225558Z ++ get_pinned_commit audio
2025-08-14T21:29:31.1225780Z ++ cat .github/ci_commit_pins/audio.txt
2025-08-14T21:29:31.1250857Z + commit=bdb88e1d66f272cad72156c90ac8428ca61a601c
2025-08-14T21:29:31.1251349Z + pip_build_and_install git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c dist/audio
2025-08-14T21:29:31.1251911Z + local build_target=git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c
2025-08-14T21:29:31.1252783Z + local wheel_dir=dist/audio
2025-08-14T21:29:31.1253077Z + local found_whl=0
2025-08-14T21:29:31.1253285Z + for file in "${wheel_dir}"/*.whl
2025-08-14T21:29:31.1253637Z + [[ -f dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl ]]
2025-08-14T21:29:31.1253948Z + found_whl=1
2025-08-14T21:29:31.1254121Z + break
2025-08-14T21:29:31.1254278Z + '[' 1 == 0 ']'
2025-08-14T21:29:31.1254461Z + for file in "${wheel_dir}"/*.whl
2025-08-14T21:29:31.1255203Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl
2025-08-14T21:29:31.1255655Z + args=('dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl')
2025-08-14T21:29:31.1255953Z + local args
2025-08-14T21:29:31.1256239Z + [[ dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl == *\ * ]]
2025-08-14T21:29:31.1256574Z + for path in "${args[@]}"
2025-08-14T21:29:31.1256895Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl'
2025-08-14T21:29:31.1257325Z Installing dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl
2025-08-14T21:29:31.1257850Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl
2025-08-14T21:29:31.4403748Z Processing ./dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl
2025-08-14T21:29:31.4486049Z Installing collected packages: torchaudio
2025-08-14T21:29:31.6804137Z Successfully installed torchaudio-2.8.0a0+bdb88e1
2025-08-14T21:29:31.7289036Z + install_torchvision
2025-08-14T21:29:31.7289410Z + local orig_preload
2025-08-14T21:29:31.7290268Z + local commit
2025-08-14T21:29:31.7290470Z ++ get_pinned_commit vision
2025-08-14T21:29:31.7290699Z ++ cat .github/ci_commit_pins/vision.txt
2025-08-14T21:29:31.7305982Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-14T21:29:31.7306347Z + orig_preload=
2025-08-14T21:29:31.7306539Z + '[' -n '' ']'
2025-08-14T21:29:31.7306760Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]]
2025-08-14T21:29:31.7307255Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision
2025-08-14T21:29:31.7307852Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-14T21:29:31.7308243Z + local wheel_dir=dist/vision
2025-08-14T21:29:31.7308445Z + local found_whl=0
2025-08-14T21:29:31.7308638Z + for file in "${wheel_dir}"/*.whl
2025-08-14T21:29:31.7308962Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]]
2025-08-14T21:29:31.7309314Z + found_whl=1
2025-08-14T21:29:31.7309486Z + break
2025-08-14T21:29:31.7309641Z + '[' 1 == 0 ']'
2025-08-14T21:29:31.7309827Z + for file in "${wheel_dir}"/*.whl
2025-08-14T21:29:31.7310139Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-14T21:29:31.7310540Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl')
2025-08-14T21:29:31.7310810Z + local args
2025-08-14T21:29:31.7311075Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]]
2025-08-14T21:29:31.7311381Z + for path in "${args[@]}"
2025-08-14T21:29:31.7311680Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl'
2025-08-14T21:29:31.7312101Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-14T21:29:31.7312586Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-14T21:29:32.0456412Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-14T21:29:32.0539553Z Installing collected packages: torchvision
2025-08-14T21:29:32.4580915Z Successfully installed torchvision-0.22.0a0+966da7e
2025-08-14T21:29:32.5043667Z + '[' -n '' ']'
2025-08-14T21:29:32.5043929Z + id=0
2025-08-14T21:29:32.5044123Z + pip_install opencv-python==4.8.0.74
2025-08-14T21:29:32.5044414Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-08-14T21:29:32.5044757Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74
2025-08-14T21:29:32.8922351Z Collecting opencv-python==4.8.0.74
2025-08-14T21:29:32.9039720Z   Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)
2025-08-14T21:29:32.9137094Z Requirement already satisfied: numpy>=1.17.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from opencv-python==4.8.0.74) (1.22.4)
2025-08-14T21:29:32.9231429Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB)
2025-08-14T21:29:34.1997207Z Installing collected packages: opencv-python
2025-08-14T21:29:34.1997562Z   Attempting uninstall: opencv-python
2025-08-14T21:29:34.2006886Z     Found existing installation: opencv-python 4.11.0.86
2025-08-14T21:29:34.2075817Z     Uninstalling opencv-python-4.11.0.86:
2025-08-14T21:29:34.2919329Z       Successfully uninstalled opencv-python-4.11.0.86
2025-08-14T21:29:35.1814867Z Successfully installed opencv-python-4.8.0.74
2025-08-14T21:29:35.3320292Z + [[ dynamic_cpu_inductor_torchbench == *inductor_torchbench_smoketest_perf* ]]
2025-08-14T21:29:35.3320808Z + [[ dynamic_cpu_inductor_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]]
2025-08-14T21:29:35.3321202Z + [[ dynamic_cpu_inductor_torchbench == *torchbench_gcp_smoketest* ]]
2025-08-14T21:29:35.3321511Z + [[ dynamic_cpu_inductor_torchbench != *cpu* ]]
2025-08-14T21:29:35.3321759Z + PYTHONPATH=/torchbench
2025-08-14T21:29:35.3321979Z + test_dynamo_benchmark torchbench 0
2025-08-14T21:29:35.3325527Z ++ pwd
2025-08-14T21:29:35.3326222Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-08-14T21:29:35.3326511Z + local suite=torchbench
2025-08-14T21:29:35.3326722Z + shift
2025-08-14T21:29:35.3326884Z + local shard_id=0
2025-08-14T21:29:35.3327062Z + shift
2025-08-14T21:29:35.3327291Z + [[ dynamic_cpu_inductor_torchbench == *perf_compare* ]]
2025-08-14T21:29:35.3327565Z + [[ dynamic_cpu_inductor_torchbench == *perf* ]]
2025-08-14T21:29:35.3327823Z + [[ dynamic_cpu_inductor_torchbench == *cpu* ]]
2025-08-14T21:29:35.3328050Z + local dt=float32
2025-08-14T21:29:35.3328249Z + [[ dynamic_cpu_inductor_torchbench == *amp* ]]
2025-08-14T21:29:35.3328530Z + [[ dynamic_cpu_inductor_torchbench == *freezing* ]]
2025-08-14T21:29:35.3328883Z + test_single_dynamo_benchmark inference torchbench 0 --inference --float32
2025-08-14T21:29:35.3329188Z ++ pwd
2025-08-14T21:29:35.3331122Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-08-14T21:29:35.3331466Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports
2025-08-14T21:29:35.3356366Z + local name=inference
2025-08-14T21:29:35.3356648Z + shift
2025-08-14T21:29:35.3356839Z + local suite=torchbench
2025-08-14T21:29:35.3357031Z + shift
2025-08-14T21:29:35.3357233Z + local shard_id=0
2025-08-14T21:29:35.3357408Z + shift
2025-08-14T21:29:35.3357569Z + partition_flags=()
2025-08-14T21:29:35.3357764Z + local partition_flags
2025-08-14T21:29:35.3357945Z + [[ -n 2 ]]
2025-08-14T21:29:35.3358104Z + [[ -n 0 ]]
2025-08-14T21:29:35.3358398Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id")
2025-08-14T21:29:35.3358775Z + [[ dynamic_cpu_inductor_torchbench == *perf_compare* ]]
2025-08-14T21:29:35.3359053Z + [[ dynamic_cpu_inductor_torchbench == *perf* ]]
2025-08-14T21:29:35.3359312Z + [[ dynamic_cpu_inductor_torchbench == *_avx2* ]]
2025-08-14T21:29:35.3359572Z + [[ dynamic_cpu_inductor_torchbench == *_avx512* ]]
2025-08-14T21:29:35.3360501Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --dynamic-shapes --dynamic-batch-only --device cpu --inference --float32 --total-partitions 2 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv
2025-08-14T21:29:40.7165910Z 
2025-08-14T21:29:42.4673814Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:29:42.4674119Z loading model: 0it [00:01, ?it/s]
2025-08-14T21:29:42.4698692Z cpu  eval  BERT_pytorch                       
2025-08-14T21:29:42.9170651Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:29:43.1542829Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:29:43.3923373Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:30:09.1600006Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1606094Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1606538Z     return mod(*inputs)
2025-08-14T21:30:09.1606938Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1607359Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1608043Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 44, in forward
2025-08-14T21:30:09.1608520Z     mask = (x > 0).unsqueeze(1).repeat(1, x.size(1), 1).unsqueeze(1)
2025-08-14T21:30:09.1608710Z 
2025-08-14T21:30:09.1608845Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1609270Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1609637Z     return mod(*inputs)
2025-08-14T21:30:09.1610122Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1610562Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1610943Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 47, in forward
2025-08-14T21:30:09.1612429Z     x = self.embedding(x, segment_info)
2025-08-14T21:30:09.1612845Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward
2025-08-14T21:30:09.1613342Z     x = self.token(sequence) + self.position(sequence) + self.segment(segment_label)
2025-08-14T21:30:09.1613581Z 
2025-08-14T21:30:09.1613701Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1614115Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1614474Z     return mod(*inputs)
2025-08-14T21:30:09.1614853Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1615267Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1615651Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1616032Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1616434Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1616860Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1617264Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1617713Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1618326Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1618759Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1619206Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.1619637Z     query, key, value = [
2025-08-14T21:30:09.1620044Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.1620548Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.1620741Z 
2025-08-14T21:30:09.1620856Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1621237Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1621605Z     return mod(*inputs)
2025-08-14T21:30:09.1621988Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1622374Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1622726Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1623088Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1623549Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1623973Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1624395Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1624838Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1625268Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1625714Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1626165Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.1626557Z     query, key, value = [
2025-08-14T21:30:09.1626945Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.1627400Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.1627620Z 
2025-08-14T21:30:09.1627740Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1628114Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1628478Z     return mod(*inputs)
2025-08-14T21:30:09.1628844Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1629277Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1629646Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1630020Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1630413Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1630823Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1631241Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1631680Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1632108Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1632537Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1632989Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1633485Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1633958Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.1634451Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.1634692Z 
2025-08-14T21:30:09.1634806Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1635197Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1635544Z     return mod(*inputs)
2025-08-14T21:30:09.1635911Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1636315Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1636678Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1637049Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1637439Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1637852Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1638256Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1638748Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1639175Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1639604Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1640046Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1640519Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1640981Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.1641468Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.1641697Z 
2025-08-14T21:30:09.1641820Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1642415Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1642783Z     return mod(*inputs)
2025-08-14T21:30:09.1643145Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1643613Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1643983Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1644357Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1644735Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1645140Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1645549Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1645979Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1646393Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1646831Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1647281Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1647746Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1648208Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.1648694Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.1648917Z 
2025-08-14T21:30:09.1649038Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1649423Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1649770Z     return mod(*inputs)
2025-08-14T21:30:09.1650210Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1650631Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1650996Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1651376Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1651763Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1652171Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1652583Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1653026Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1653447Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1653878Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1654376Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.1654793Z     query, key, value = [
2025-08-14T21:30:09.1655186Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.1655652Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.1655840Z 
2025-08-14T21:30:09.1655954Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1656343Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1656689Z     return mod(*inputs)
2025-08-14T21:30:09.1657063Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1657472Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1657828Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1658209Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1658644Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1659055Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1659461Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1659895Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1660322Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1660756Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1661197Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1661671Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1662401Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.1662841Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.1663012Z 
2025-08-14T21:30:09.1663127Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1663521Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1663875Z     return mod(*inputs)
2025-08-14T21:30:09.1664241Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1664648Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1665010Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1665380Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1665766Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1666181Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1666598Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1667023Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1667450Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1667881Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1668325Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1668787Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1669248Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.1669673Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.1669830Z 
2025-08-14T21:30:09.1670087Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1670482Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1670835Z     return mod(*inputs)
2025-08-14T21:30:09.1671202Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1671589Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1671955Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1672326Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1672702Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1673115Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1673527Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1673968Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1674467Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1674899Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1675351Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:30:09.1675843Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:30:09.1676059Z 
2025-08-14T21:30:09.1676173Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1676576Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1676937Z     return mod(*inputs)
2025-08-14T21:30:09.1677298Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1677710Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1678079Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1678455Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1678833Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1679243Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1679659Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1680088Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1680511Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1680937Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1681396Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-14T21:30:09.1681813Z     return self.output_linear(x)
2025-08-14T21:30:09.1681957Z 
2025-08-14T21:30:09.1682070Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1682460Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1682814Z     return mod(*inputs)
2025-08-14T21:30:09.1683177Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1683574Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1683940Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1684308Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1684689Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.1685146Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.1685565Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1685997Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1686446Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.1686906Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.1687092Z 
2025-08-14T21:30:09.1687211Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1687597Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1687946Z     return mod(*inputs)
2025-08-14T21:30:09.1688323Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1688713Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1689075Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1689494Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1689869Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.1690371Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.1690780Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1691208Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1691646Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.1692098Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.1692289Z 
2025-08-14T21:30:09.1692404Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1692801Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1693148Z     return mod(*inputs)
2025-08-14T21:30:09.1693512Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1693923Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1694278Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1694653Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1695044Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.1695453Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.1695854Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1696288Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1696720Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.1697161Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.1697340Z 
2025-08-14T21:30:09.1697450Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1697829Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1698172Z     return mod(*inputs)
2025-08-14T21:30:09.1698538Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1698930Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1699281Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1699641Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1700053Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1700460Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1700871Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1701302Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1701731Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1702168Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1702615Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.1703018Z     query, key, value = [
2025-08-14T21:30:09.1703422Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.1704292Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.1704477Z 
2025-08-14T21:30:09.1704604Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1705046Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1705653Z     return mod(*inputs)
2025-08-14T21:30:09.1706059Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1706456Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1706820Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1707191Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1707576Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1707984Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1708417Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1708863Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1709288Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1709700Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1710138Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.1710540Z     query, key, value = [
2025-08-14T21:30:09.1710921Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.1711374Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.1711546Z 
2025-08-14T21:30:09.1711665Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1712035Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1712379Z     return mod(*inputs)
2025-08-14T21:30:09.1712737Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1713124Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1713476Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1713838Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1714221Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1714606Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1715003Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1715426Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1715910Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1716336Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1716794Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1717271Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1717733Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.1718227Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.1718459Z 
2025-08-14T21:30:09.1718575Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1718968Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1719318Z     return mod(*inputs)
2025-08-14T21:30:09.1719679Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1720073Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1720482Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1720846Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1721230Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1721635Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1722043Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1722469Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1722893Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1723321Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1723767Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1724244Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1724702Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.1725187Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.1725407Z 
2025-08-14T21:30:09.1725521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1725908Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1726252Z     return mod(*inputs)
2025-08-14T21:30:09.1726613Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1726995Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1727360Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1727731Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1728101Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1728499Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1728909Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1729337Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1729751Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1730251Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1730715Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1731258Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1731729Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.1732224Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.1732447Z 
2025-08-14T21:30:09.1732570Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1732955Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1733309Z     return mod(*inputs)
2025-08-14T21:30:09.1733675Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1734085Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1734430Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1734796Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1735158Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1735561Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1735951Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1736369Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1736789Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1737196Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1737628Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.1738027Z     query, key, value = [
2025-08-14T21:30:09.1738404Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.1738853Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.1739035Z 
2025-08-14T21:30:09.1739147Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1739525Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1739856Z     return mod(*inputs)
2025-08-14T21:30:09.1740214Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1740601Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1740952Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1741302Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1741678Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1742071Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1742465Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1742894Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1743303Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1743715Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1744141Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1744597Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1745042Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.1745442Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.1745600Z 
2025-08-14T21:30:09.1745710Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1746138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1746487Z     return mod(*inputs)
2025-08-14T21:30:09.1746831Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1747216Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1747569Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1747930Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1748296Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1748691Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1749103Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1749537Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1749953Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1750419Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1750857Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1751312Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1751801Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.1752238Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.1752396Z 
2025-08-14T21:30:09.1752516Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1752905Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1753257Z     return mod(*inputs)
2025-08-14T21:30:09.1753626Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1754023Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1754391Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1754763Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1755147Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1755562Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1755975Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1756410Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1756824Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1757267Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1757722Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:30:09.1758210Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:30:09.1758419Z 
2025-08-14T21:30:09.1758533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1758924Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1759274Z     return mod(*inputs)
2025-08-14T21:30:09.1759632Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1760040Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1760405Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1760781Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1761208Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1761618Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1762261Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1762707Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1763123Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1763556Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1764004Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-14T21:30:09.1764412Z     return self.output_linear(x)
2025-08-14T21:30:09.1764556Z 
2025-08-14T21:30:09.1764669Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1765067Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1765499Z     return mod(*inputs)
2025-08-14T21:30:09.1765861Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1766263Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1766625Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1766989Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1767384Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.1767791Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.1768209Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1768638Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1769085Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.1769548Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.1769735Z 
2025-08-14T21:30:09.1769857Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1770328Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1770685Z     return mod(*inputs)
2025-08-14T21:30:09.1771054Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1771454Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1771825Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1772201Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1772595Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.1772998Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.1773414Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1773855Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1774277Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.1774735Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.1774922Z 
2025-08-14T21:30:09.1775033Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1775410Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1775743Z     return mod(*inputs)
2025-08-14T21:30:09.1776098Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1776549Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1776905Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1777276Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1777662Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.1778071Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.1778459Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1778876Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1779301Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.1779739Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.1779918Z 
2025-08-14T21:30:09.1780033Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1780427Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1780818Z     return mod(*inputs)
2025-08-14T21:30:09.1781187Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1781597Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1781964Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1782344Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1782734Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.1783153Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.1783552Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1783967Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1784144Z 
2025-08-14T21:30:09.1784261Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1784652Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1785001Z     return mod(*inputs)
2025-08-14T21:30:09.1785365Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1785758Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1786120Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1786494Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1786870Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1787277Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1787683Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1788109Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1788528Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1788958Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1789421Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.1789837Z     query, key, value = [
2025-08-14T21:30:09.1790260Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.1790728Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.1790906Z 
2025-08-14T21:30:09.1791021Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1791470Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1791819Z     return mod(*inputs)
2025-08-14T21:30:09.1792173Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1792590Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1792949Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1793323Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1793691Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1794104Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1794516Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1794959Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1795378Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1795852Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1796305Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.1796715Z     query, key, value = [
2025-08-14T21:30:09.1797109Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.1797569Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.1797743Z 
2025-08-14T21:30:09.1797866Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1798250Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1798606Z     return mod(*inputs)
2025-08-14T21:30:09.1798974Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1799370Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1799725Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1800095Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1800481Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1800883Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1801297Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1801943Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1802383Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1802806Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1803264Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1803753Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1804230Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.1804725Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.1804963Z 
2025-08-14T21:30:09.1805080Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1805474Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1805811Z     return mod(*inputs)
2025-08-14T21:30:09.1806181Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1806578Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1806984Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1807351Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1807741Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1808150Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1808564Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1808995Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1809418Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1809849Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1810437Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1810946Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1811410Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.1811942Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.1812171Z 
2025-08-14T21:30:09.1812288Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1812684Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1813040Z     return mod(*inputs)
2025-08-14T21:30:09.1813400Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1813806Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1814143Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1814489Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1814873Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1815275Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1815677Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1816096Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1816503Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1816918Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1817355Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1817813Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1818263Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.1818707Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.1818912Z 
2025-08-14T21:30:09.1819018Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1819382Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1819704Z     return mod(*inputs)
2025-08-14T21:30:09.1820039Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1820397Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1820732Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1821071Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1821417Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1821835Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1822245Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1822660Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1823045Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1823440Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1823850Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.1824224Z     query, key, value = [
2025-08-14T21:30:09.1824586Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.1825022Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.1825192Z 
2025-08-14T21:30:09.1825305Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1825670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1826066Z     return mod(*inputs)
2025-08-14T21:30:09.1826426Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1826815Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1827166Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1827532Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1827907Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1828294Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1828701Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1829125Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1829547Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1829956Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1830397Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1830858Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1831306Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.1831708Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.1831868Z 
2025-08-14T21:30:09.1831978Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1832360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1832698Z     return mod(*inputs)
2025-08-14T21:30:09.1833061Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1833454Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1833809Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1834162Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1834540Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1834937Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1835330Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1835751Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1836167Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1836637Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1837077Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1837540Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1837992Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.1838407Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.1838559Z 
2025-08-14T21:30:09.1838669Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1839054Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1839398Z     return mod(*inputs)
2025-08-14T21:30:09.1839746Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1840135Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1840488Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1840903Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1841290Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1841679Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1842078Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1842505Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1842907Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1843325Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1843771Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:30:09.1844245Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:30:09.1844455Z 
2025-08-14T21:30:09.1844567Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1844954Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1845300Z     return mod(*inputs)
2025-08-14T21:30:09.1845660Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1846043Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1846400Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1846765Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1847138Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1847543Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1847949Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1848377Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1848777Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1849192Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1849630Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-14T21:30:09.1850131Z     return self.output_linear(x)
2025-08-14T21:30:09.1850283Z 
2025-08-14T21:30:09.1850401Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1850811Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1851183Z     return mod(*inputs)
2025-08-14T21:30:09.1851611Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1852022Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1852384Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1852756Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1853149Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.1853554Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.1853965Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1854389Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1854849Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.1855323Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.1855513Z 
2025-08-14T21:30:09.1855677Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1856075Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1856431Z     return mod(*inputs)
2025-08-14T21:30:09.1856801Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1857201Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1857565Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1857946Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1858335Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.1858735Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.1859157Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1859598Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1860033Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.1860490Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.1860683Z 
2025-08-14T21:30:09.1860795Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1861189Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1861556Z     return mod(*inputs)
2025-08-14T21:30:09.1861925Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1862508Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1862883Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1863266Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1863663Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.1864074Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.1864481Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1864938Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1865370Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.1865810Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.1865987Z 
2025-08-14T21:30:09.1866098Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1866486Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1866928Z     return mod(*inputs)
2025-08-14T21:30:09.1867287Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1867680Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1868034Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1868400Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1868776Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1869169Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1869567Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1869993Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1870397Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1870817Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1871318Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.1871719Z     query, key, value = [
2025-08-14T21:30:09.1872117Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.1872578Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.1872756Z 
2025-08-14T21:30:09.1872876Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1873253Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1873599Z     return mod(*inputs)
2025-08-14T21:30:09.1873960Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1874343Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1874702Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1875074Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1875457Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1875845Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1876246Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1876673Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1877082Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1877500Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1877944Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.1878346Z     query, key, value = [
2025-08-14T21:30:09.1878733Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.1879191Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.1879368Z 
2025-08-14T21:30:09.1879479Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1879862Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1880198Z     return mod(*inputs)
2025-08-14T21:30:09.1880554Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1880939Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1881284Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1881651Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1882073Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1882475Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1882871Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1883294Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1883707Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1884119Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1884566Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1885037Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1885514Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.1886070Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.1886309Z 
2025-08-14T21:30:09.1886424Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1886815Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1887170Z     return mod(*inputs)
2025-08-14T21:30:09.1887531Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1887930Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1888298Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1888676Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1889065Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1889476Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1889889Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1890403Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1890833Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1891268Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1891723Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1892193Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1892661Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.1893184Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.1893420Z 
2025-08-14T21:30:09.1893538Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1893955Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1894319Z     return mod(*inputs)
2025-08-14T21:30:09.1894693Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1895095Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1895461Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1895849Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1896232Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1896646Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1897120Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1897553Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1897984Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1898408Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1898863Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1899338Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1899779Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.1900254Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.1900473Z 
2025-08-14T21:30:09.1900594Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1900970Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1901376Z     return mod(*inputs)
2025-08-14T21:30:09.1901741Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1902137Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1902501Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1902875Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1903262Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1903666Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1904077Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1904506Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1904933Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1905353Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1905798Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.1906206Z     query, key, value = [
2025-08-14T21:30:09.1906606Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.1907063Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.1907248Z 
2025-08-14T21:30:09.1907360Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1907751Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1908097Z     return mod(*inputs)
2025-08-14T21:30:09.1908465Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1908862Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1909222Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1909589Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1909973Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1910370Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1910773Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1911206Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1911627Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1912051Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1912544Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1913018Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1913474Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.1913881Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.1914035Z 
2025-08-14T21:30:09.1914147Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1914525Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1914870Z     return mod(*inputs)
2025-08-14T21:30:09.1915221Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1915610Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1915967Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1916376Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1916752Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1917141Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1917534Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1917944Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1918352Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1918767Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1919202Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1919654Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1920100Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.1920508Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.1920657Z 
2025-08-14T21:30:09.1920774Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1921147Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1921489Z     return mod(*inputs)
2025-08-14T21:30:09.1921840Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1922216Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1922568Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1922926Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1923297Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1923684Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1924081Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1924498Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1924895Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1925304Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1925732Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:30:09.1926196Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:30:09.1926399Z 
2025-08-14T21:30:09.1926508Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1926932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1927279Z     return mod(*inputs)
2025-08-14T21:30:09.1927638Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1928021Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1928386Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1928756Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1929135Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1929539Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1930026Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1930481Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1930899Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1931381Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1931836Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-14T21:30:09.1932254Z     return self.output_linear(x)
2025-08-14T21:30:09.1932392Z 
2025-08-14T21:30:09.1932507Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1932905Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1933258Z     return mod(*inputs)
2025-08-14T21:30:09.1933621Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1934020Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1934388Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1934762Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1935146Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.1935561Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.1935977Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1936402Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1936853Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.1937311Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.1937505Z 
2025-08-14T21:30:09.1937621Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1937996Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1938335Z     return mod(*inputs)
2025-08-14T21:30:09.1938675Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1939034Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1939372Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1939712Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1940076Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.1940463Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.1940861Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1941282Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1941767Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.1942201Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.1942392Z 
2025-08-14T21:30:09.1942495Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1942849Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1943171Z     return mod(*inputs)
2025-08-14T21:30:09.1943521Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1943900Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1944249Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1944596Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1944965Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.1945361Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.1945754Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1946213Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1946641Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.1947082Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.1947259Z 
2025-08-14T21:30:09.1947370Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1947748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1948097Z     return mod(*inputs)
2025-08-14T21:30:09.1948453Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1948829Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1949186Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1949548Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1949916Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.1950311Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.1950711Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1951129Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1951301Z 
2025-08-14T21:30:09.1951417Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1951807Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1952162Z     return mod(*inputs)
2025-08-14T21:30:09.1952510Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1952900Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1953265Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1953640Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1954017Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1954423Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1954833Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1955258Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1955697Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1956125Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1956641Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.1957049Z     query, key, value = [
2025-08-14T21:30:09.1957452Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.1957916Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.1958093Z 
2025-08-14T21:30:09.1958212Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1958604Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1958961Z     return mod(*inputs)
2025-08-14T21:30:09.1959327Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1959713Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1960076Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1960454Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1960879Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1961272Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1961674Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1962348Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1962766Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1963198Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1963649Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.1964064Z     query, key, value = [
2025-08-14T21:30:09.1964464Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.1964931Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.1965108Z 
2025-08-14T21:30:09.1965231Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1965623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1965972Z     return mod(*inputs)
2025-08-14T21:30:09.1966339Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1966734Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1967092Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1967479Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1967865Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1968278Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1968685Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1969120Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1969540Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1970014Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1970485Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1970969Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1971435Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.1971928Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.1972273Z 
2025-08-14T21:30:09.1972392Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1972793Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1973143Z     return mod(*inputs)
2025-08-14T21:30:09.1973502Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1973898Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1974273Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1974644Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1975030Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1975445Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1975851Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1976266Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1976756Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1977173Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1977603Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1978064Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1978509Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.1978982Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.1979199Z 
2025-08-14T21:30:09.1979671Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1980056Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1980401Z     return mod(*inputs)
2025-08-14T21:30:09.1980755Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1981129Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1981479Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1981839Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1982206Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1982595Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1982991Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1983411Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1983816Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1984232Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1984669Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1985129Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1985573Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.1986041Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.1986258Z 
2025-08-14T21:30:09.1986380Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1986755Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1987096Z     return mod(*inputs)
2025-08-14T21:30:09.1987505Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1987893Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1988236Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1988603Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1988987Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1989384Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1989794Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1990227Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1990655Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1991063Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1991499Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.1991943Z     query, key, value = [
2025-08-14T21:30:09.1992336Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.1992775Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.1992956Z 
2025-08-14T21:30:09.1993066Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.1993446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.1993777Z     return mod(*inputs)
2025-08-14T21:30:09.1994130Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.1994515Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.1994868Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.1995227Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.1995605Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.1995997Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.1996389Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.1996812Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.1997218Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.1997628Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.1998057Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.1998518Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.1998966Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.1999373Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.1999522Z 
2025-08-14T21:30:09.1999631Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2000005Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2000344Z     return mod(*inputs)
2025-08-14T21:30:09.2000693Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2001077Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2001431Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2001791Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2002202Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2002601Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2003001Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2003414Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2003823Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2004237Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2004676Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2005125Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2005569Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.2005977Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.2006166Z 
2025-08-14T21:30:09.2006283Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2006662Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2007007Z     return mod(*inputs)
2025-08-14T21:30:09.2007362Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2007780Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2008154Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2008532Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2008919Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2009318Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2009742Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2010286Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2010718Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2011151Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2011613Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:30:09.2012101Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:30:09.2012312Z 
2025-08-14T21:30:09.2012427Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2012826Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2013229Z     return mod(*inputs)
2025-08-14T21:30:09.2013604Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2014007Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2014383Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2014767Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2015145Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2015554Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2015966Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2016410Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2016829Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2017320Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2017757Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-14T21:30:09.2018161Z     return self.output_linear(x)
2025-08-14T21:30:09.2018292Z 
2025-08-14T21:30:09.2018405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2018794Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2019144Z     return mod(*inputs)
2025-08-14T21:30:09.2019502Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2019895Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2020253Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2020624Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2021001Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2021440Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2021840Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2022256Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2022685Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2023132Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2023313Z 
2025-08-14T21:30:09.2023432Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2023803Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2024143Z     return mod(*inputs)
2025-08-14T21:30:09.2024500Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2024879Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2025235Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2025602Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2025976Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2026359Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2026753Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2027177Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2027603Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2028034Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2028215Z 
2025-08-14T21:30:09.2028328Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2028709Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2029040Z     return mod(*inputs)
2025-08-14T21:30:09.2029396Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2029778Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2030132Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2030490Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2030863Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2031254Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2031638Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2032096Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2032534Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2032971Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2033147Z 
2025-08-14T21:30:09.2033256Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2033636Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2033975Z     return mod(*inputs)
2025-08-14T21:30:09.2034323Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2034709Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2035060Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2035417Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2035786Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2036217Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2036616Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2037043Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2037459Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2037894Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2038333Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.2038725Z     query, key, value = [
2025-08-14T21:30:09.2039116Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.2039570Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.2039746Z 
2025-08-14T21:30:09.2039863Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2040236Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2040575Z     return mod(*inputs)
2025-08-14T21:30:09.2040932Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2041310Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2041662Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2042022Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2042398Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2042792Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2043206Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2043641Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2044064Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2044482Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2044930Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.2045337Z     query, key, value = [
2025-08-14T21:30:09.2045733Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.2046202Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.2046388Z 
2025-08-14T21:30:09.2046502Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2046934Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2047284Z     return mod(*inputs)
2025-08-14T21:30:09.2047658Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2048056Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2048414Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2048803Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2049192Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2049598Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2050128Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2050573Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2051006Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2051488Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2051932Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2052421Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2052894Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.2053388Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.2053624Z 
2025-08-14T21:30:09.2053745Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2054147Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2054506Z     return mod(*inputs)
2025-08-14T21:30:09.2054876Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2055285Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2055655Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2056026Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2056413Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2056827Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2057244Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2057682Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2058108Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2058547Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2059005Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2059482Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2059946Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.2060442Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.2060669Z 
2025-08-14T21:30:09.2060795Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2061190Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2061550Z     return mod(*inputs)
2025-08-14T21:30:09.2061928Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2062646Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2063020Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2063391Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2063774Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2064184Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2064596Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2065041Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2065458Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2065887Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2066344Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2066900Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2067342Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.2067816Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.2068033Z 
2025-08-14T21:30:09.2068157Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2068542Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2068882Z     return mod(*inputs)
2025-08-14T21:30:09.2069242Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2069646Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2070011Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2070390Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2070787Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2071196Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2071602Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2072026Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2072437Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2072844Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2073293Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.2073705Z     query, key, value = [
2025-08-14T21:30:09.2074109Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.2074574Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.2074761Z 
2025-08-14T21:30:09.2074875Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2075268Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2075627Z     return mod(*inputs)
2025-08-14T21:30:09.2075997Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2076404Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2076769Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2077141Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2077520Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2077978Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2078397Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2078823Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2079247Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2079682Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2080112Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2080575Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2081027Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.2081459Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.2081617Z 
2025-08-14T21:30:09.2081729Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2082154Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2082497Z     return mod(*inputs)
2025-08-14T21:30:09.2082848Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2083280Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2083646Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2084029Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2084409Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2084816Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2085231Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2085667Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2086089Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2086516Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2086968Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2087436Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2087896Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.2088327Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.2088485Z 
2025-08-14T21:30:09.2088608Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2088995Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2089346Z     return mod(*inputs)
2025-08-14T21:30:09.2089718Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2090201Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2090570Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2090953Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2091337Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2091737Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2092151Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2092597Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2093861Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2094308Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2094760Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:30:09.2095246Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:30:09.2095455Z 
2025-08-14T21:30:09.2095569Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2095966Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2096336Z     return mod(*inputs)
2025-08-14T21:30:09.2096707Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2097099Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2097466Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2097843Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2098269Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2098678Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2099089Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2099522Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2099943Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2100361Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2100818Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-14T21:30:09.2101238Z     return self.output_linear(x)
2025-08-14T21:30:09.2101372Z 
2025-08-14T21:30:09.2101485Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2101872Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2102219Z     return mod(*inputs)
2025-08-14T21:30:09.2102568Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2102952Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2103305Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2103665Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2104034Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2104429Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2104830Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2105245Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2105677Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2106127Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2106311Z 
2025-08-14T21:30:09.2106433Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2106816Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2107192Z     return mod(*inputs)
2025-08-14T21:30:09.2107558Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2107960Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2108307Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2108666Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2109086Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2109479Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2109885Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2110312Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2110765Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2111221Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2111413Z 
2025-08-14T21:30:09.2111530Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2111932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2112268Z     return mod(*inputs)
2025-08-14T21:30:09.2112634Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2113072Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2113436Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2113815Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2114201Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2114609Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2115011Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2115449Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2117065Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2117645Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2117879Z 
2025-08-14T21:30:09.2118075Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2118547Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2118919Z     return mod(*inputs)
2025-08-14T21:30:09.2119291Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2119711Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2120087Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2120475Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2120868Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2121301Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2121735Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2122168Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2122346Z 
2025-08-14T21:30:09.2122462Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2122865Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2123229Z     return mod(*inputs)
2025-08-14T21:30:09.2123597Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2124010Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2124377Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2124831Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2125382Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2126212Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2126832Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2127467Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2128099Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2128703Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2129912Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.2130577Z     query, key, value = [
2025-08-14T21:30:09.2131019Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.2131520Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.2131706Z 
2025-08-14T21:30:09.2131839Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2132243Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2132714Z     return mod(*inputs)
2025-08-14T21:30:09.2133086Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2133510Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2133899Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2134290Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2134681Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2135086Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2135498Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2135937Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2136356Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2136793Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2137245Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.2137674Z     query, key, value = [
2025-08-14T21:30:09.2138077Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.2138551Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.2138727Z 
2025-08-14T21:30:09.2138850Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2139246Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2139606Z     return mod(*inputs)
2025-08-14T21:30:09.2139989Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2140412Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2140773Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2141159Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2141547Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2141960Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2142368Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2142807Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2143255Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2143724Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2144190Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2144690Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2145190Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.2145700Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.2145950Z 
2025-08-14T21:30:09.2146071Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2146465Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2146840Z     return mod(*inputs)
2025-08-14T21:30:09.2147208Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2147625Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2148044Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2148431Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2148824Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2149242Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2149655Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2150085Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2150512Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2150947Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2151395Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2151887Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2152354Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.2152859Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.2153085Z 
2025-08-14T21:30:09.2153206Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2153599Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2153948Z     return mod(*inputs)
2025-08-14T21:30:09.2154314Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2154727Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2175331Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2175814Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2176239Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2176674Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2177109Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2177566Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2177997Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2178443Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2178900Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2179382Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2180147Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.2180659Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.2180899Z 
2025-08-14T21:30:09.2181033Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2181432Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2181801Z     return mod(*inputs)
2025-08-14T21:30:09.2182191Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2182605Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2182978Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2183361Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2183759Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2184259Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2184663Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2185192Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2185671Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2186090Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2186535Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.2186946Z     query, key, value = [
2025-08-14T21:30:09.2187336Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.2187806Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.2187993Z 
2025-08-14T21:30:09.2188116Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2188508Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2188856Z     return mod(*inputs)
2025-08-14T21:30:09.2189223Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2189617Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2189969Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2190334Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2190716Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2191118Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2191522Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2191950Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2192369Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2192794Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2193246Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2193728Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2194198Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.2194619Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.2194786Z 
2025-08-14T21:30:09.2194904Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2195377Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2195740Z     return mod(*inputs)
2025-08-14T21:30:09.2196099Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2196500Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2196873Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2197236Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2197627Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2198033Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2198444Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2198873Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2199307Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2199786Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2200239Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2200708Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2201169Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.2201591Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.2201746Z 
2025-08-14T21:30:09.2201862Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2202258Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2202609Z     return mod(*inputs)
2025-08-14T21:30:09.2202985Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2203383Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2203751Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2204123Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2204501Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2204908Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2205317Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2205752Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2206170Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2206601Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2207056Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:30:09.2207546Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:30:09.2207755Z 
2025-08-14T21:30:09.2207870Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2208264Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2208619Z     return mod(*inputs)
2025-08-14T21:30:09.2208981Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2209398Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2209772Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2210337Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2210785Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2211206Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2211620Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2212071Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2212499Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2212930Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2213383Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-14T21:30:09.2213798Z     return self.output_linear(x)
2025-08-14T21:30:09.2213942Z 
2025-08-14T21:30:09.2214058Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2214459Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2214818Z     return mod(*inputs)
2025-08-14T21:30:09.2215234Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2215642Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2216014Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2216385Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2216777Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2217190Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2217611Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2218056Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2218516Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2219003Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2219192Z 
2025-08-14T21:30:09.2219307Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2219721Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2220086Z     return mod(*inputs)
2025-08-14T21:30:09.2220460Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2220867Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2221289Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2221674Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2222066Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2222485Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2222904Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2223354Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2223811Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2224278Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2224472Z 
2025-08-14T21:30:09.2224588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2224995Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2225350Z     return mod(*inputs)
2025-08-14T21:30:09.2225720Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2226135Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2226543Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2226928Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2227320Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2227727Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2228134Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2228567Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2229013Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2229459Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2229650Z 
2025-08-14T21:30:09.2229764Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2230159Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2230555Z     return mod(*inputs)
2025-08-14T21:30:09.2230915Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2231313Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2231679Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2232048Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2232428Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2232838Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2233256Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2233689Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2234117Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2234546Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2235001Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.2235410Z     query, key, value = [
2025-08-14T21:30:09.2235814Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.2236288Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.2236467Z 
2025-08-14T21:30:09.2236582Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2236977Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2237329Z     return mod(*inputs)
2025-08-14T21:30:09.2237702Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2238096Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2238466Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2238845Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2239225Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2239634Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2240048Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2240168Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2240418Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2240539Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2240853Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.2240943Z     query, key, value = [
2025-08-14T21:30:09.2241225Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.2241354Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.2241358Z 
2025-08-14T21:30:09.2241474Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2241691Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2241770Z     return mod(*inputs)
2025-08-14T21:30:09.2242021Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2242106Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2242336Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2242483Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2242739Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2242839Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2243092Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2243220Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2243466Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2243593Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2243867Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2244015Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2244292Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.2244469Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.2244473Z 
2025-08-14T21:30:09.2244598Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2244816Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2244886Z     return mod(*inputs)
2025-08-14T21:30:09.2245149Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2245227Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2245457Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2245550Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2245799Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2245907Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2246161Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2246278Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2246531Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2246648Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2246924Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2247074Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2247339Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.2247562Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.2247569Z 
2025-08-14T21:30:09.2247687Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2247904Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2247983Z     return mod(*inputs)
2025-08-14T21:30:09.2248246Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2248331Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2248561Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2248643Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2248897Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2248995Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2249253Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2249423Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2249666Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2249790Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2250227Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2250376Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2250649Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.2250817Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.2250822Z 
2025-08-14T21:30:09.2250949Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2251170Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2251242Z     return mod(*inputs)
2025-08-14T21:30:09.2251505Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2251582Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2251807Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2251897Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2252145Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2252247Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2252499Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2252620Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2252876Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2252993Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2253271Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.2253348Z     query, key, value = [
2025-08-14T21:30:09.2253632Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.2253764Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.2253768Z 
2025-08-14T21:30:09.2253880Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2254094Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2254234Z     return mod(*inputs)
2025-08-14T21:30:09.2254487Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2254575Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2254800Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2254882Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2255135Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2255230Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2255479Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2255603Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2255846Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2255974Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2256294Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2256435Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2256703Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.2256803Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.2256807Z 
2025-08-14T21:30:09.2256929Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2257148Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2257219Z     return mod(*inputs)
2025-08-14T21:30:09.2257478Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2257559Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2257792Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2257884Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2258128Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2258232Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2258487Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2258603Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2258855Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2258975Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2259249Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2259397Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2259662Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.2259766Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.2259770Z 
2025-08-14T21:30:09.2259882Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2260099Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2260179Z     return mod(*inputs)
2025-08-14T21:30:09.2260431Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2260516Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2260744Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2260876Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2261128Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2261226Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2261494Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2261612Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2261853Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2262193Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2262648Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:30:09.2262807Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:30:09.2262820Z 
2025-08-14T21:30:09.2262944Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2263275Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2263356Z     return mod(*inputs)
2025-08-14T21:30:09.2263605Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2263685Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2263923Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2264003Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2264259Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2264355Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2264609Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2264741Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2264991Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2265109Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2265389Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-14T21:30:09.2265474Z     return self.output_linear(x)
2025-08-14T21:30:09.2265478Z 
2025-08-14T21:30:09.2265601Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2265819Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2265892Z     return mod(*inputs)
2025-08-14T21:30:09.2266150Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2266229Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2266464Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2266555Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2266801Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2266904Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2267156Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2267271Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2267543Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2267669Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2267673Z 
2025-08-14T21:30:09.2267793Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2268084Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2268159Z     return mod(*inputs)
2025-08-14T21:30:09.2268422Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2268498Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2268733Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2268821Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2269067Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2269169Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2269419Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2269533Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2269805Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2269984Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2269988Z 
2025-08-14T21:30:09.2270105Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2270321Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2270391Z     return mod(*inputs)
2025-08-14T21:30:09.2270649Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2270726Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2270950Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2271039Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2271285Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2271390Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2271644Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2271757Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2272029Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2272153Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2272157Z 
2025-08-14T21:30:09.2272266Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2272487Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2272556Z     return mod(*inputs)
2025-08-14T21:30:09.2272815Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2272896Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2273124Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2273213Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2273457Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2273553Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2273814Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2273927Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2273931Z 
2025-08-14T21:30:09.2274048Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2274264Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2274334Z     return mod(*inputs)
2025-08-14T21:30:09.2274646Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2274729Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2274964Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2275046Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2275289Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2275392Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2275639Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2275754Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2276006Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2276130Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2276454Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.2276531Z     query, key, value = [
2025-08-14T21:30:09.2276810Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.2276941Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.2276945Z 
2025-08-14T21:30:09.2277056Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2277275Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2277344Z     return mod(*inputs)
2025-08-14T21:30:09.2277593Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2277679Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2277905Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2277988Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2278238Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2278332Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2278586Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2278701Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2278940Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2279063Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2279330Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.2279408Z     query, key, value = [
2025-08-14T21:30:09.2279696Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.2279820Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.2279824Z 
2025-08-14T21:30:09.2279943Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2280155Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2280225Z     return mod(*inputs)
2025-08-14T21:30:09.2280481Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2280558Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2280790Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2280870Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2281151Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2281260Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2281508Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2281622Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2281868Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2281985Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2282267Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2282410Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2282671Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.2282851Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.2282893Z 
2025-08-14T21:30:09.2283009Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2283230Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2283302Z     return mod(*inputs)
2025-08-14T21:30:09.2283553Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2283639Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2283865Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2283944Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2284196Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2284291Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2284553Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2284671Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2284915Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2285041Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2285316Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2285458Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2285732Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.2285897Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.2285901Z 
2025-08-14T21:30:09.2286025Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2286244Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2286314Z     return mod(*inputs)
2025-08-14T21:30:09.2286574Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2286650Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2286884Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2286967Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2287208Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2287311Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2287558Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2287719Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2287976Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2288095Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2288383Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2288519Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2288788Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.2288960Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.2288964Z 
2025-08-14T21:30:09.2289077Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2289306Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2289375Z     return mod(*inputs)
2025-08-14T21:30:09.2289672Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2289757Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2290074Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2290168Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2290424Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2290521Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2290779Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2290895Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2291144Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2291277Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2291547Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.2291643Z     query, key, value = [
2025-08-14T21:30:09.2291919Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.2292038Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.2292043Z 
2025-08-14T21:30:09.2292163Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2292374Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2292444Z     return mod(*inputs)
2025-08-14T21:30:09.2292701Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2292781Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2293016Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2293094Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2293332Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2293433Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2293684Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2293801Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2294054Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2294172Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2294519Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2294666Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2294930Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.2295037Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.2295042Z 
2025-08-14T21:30:09.2295151Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2295365Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2295438Z     return mod(*inputs)
2025-08-14T21:30:09.2295689Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2295774Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2295999Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2296091Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2296385Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2296480Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2296729Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2296841Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2297084Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2297209Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2297472Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2297617Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2297874Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.2297971Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.2297975Z 
2025-08-14T21:30:09.2298092Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2298302Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2298373Z     return mod(*inputs)
2025-08-14T21:30:09.2298625Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2298701Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2298930Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2299012Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2299249Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2299354Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2299599Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2299711Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2299955Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2300070Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2300336Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:30:09.2300484Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:30:09.2300488Z 
2025-08-14T21:30:09.2300601Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2300862Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2300932Z     return mod(*inputs)
2025-08-14T21:30:09.2301193Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2301271Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2301498Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2301585Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2301832Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2301926Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2302186Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2302301Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2302558Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2302712Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2302978Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-14T21:30:09.2303071Z     return self.output_linear(x)
2025-08-14T21:30:09.2303075Z 
2025-08-14T21:30:09.2303186Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2303411Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2303482Z     return mod(*inputs)
2025-08-14T21:30:09.2303729Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2303814Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2304039Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2304122Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2304373Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2304473Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2304729Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2304843Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2305106Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2305244Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2305248Z 
2025-08-14T21:30:09.2305359Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2305572Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2305648Z     return mod(*inputs)
2025-08-14T21:30:09.2305901Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2305987Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2306211Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2306291Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2306543Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2306637Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2306896Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2307009Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2307271Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2307448Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2307456Z 
2025-08-14T21:30:09.2307567Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2307778Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2307856Z     return mod(*inputs)
2025-08-14T21:30:09.2308106Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2308191Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2308415Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2308496Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2308744Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2308839Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2309090Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2309250Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2309513Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2309645Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2309649Z 
2025-08-14T21:30:09.2309759Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2309976Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2310054Z     return mod(*inputs)
2025-08-14T21:30:09.2310306Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2310390Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2310619Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2310699Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2310953Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2311048Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2311299Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2311425Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2311667Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2311793Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2312065Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.2312139Z     query, key, value = [
2025-08-14T21:30:09.2312429Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.2312552Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.2312556Z 
2025-08-14T21:30:09.2312673Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2312889Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2312958Z     return mod(*inputs)
2025-08-14T21:30:09.2313218Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2313294Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2313521Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2313609Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2313849Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2313989Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2314243Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2314360Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2314613Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2314729Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2315023Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.2315099Z     query, key, value = [
2025-08-14T21:30:09.2315379Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.2315504Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.2315508Z 
2025-08-14T21:30:09.2315622Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2315872Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2315962Z     return mod(*inputs)
2025-08-14T21:30:09.2316202Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2316285Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2316500Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2316577Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2316817Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2316910Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2317151Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2317273Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2317509Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2317630Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2317893Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2318034Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2318299Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.2318464Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.2318468Z 
2025-08-14T21:30:09.2318586Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2318806Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2318878Z     return mod(*inputs)
2025-08-14T21:30:09.2319137Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2319214Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2319439Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2319527Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2319769Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2319873Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2320122Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2320235Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2320603Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2320723Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2320990Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2321123Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2321374Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.2321541Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.2321545Z 
2025-08-14T21:30:09.2321652Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2321864Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2321932Z     return mod(*inputs)
2025-08-14T21:30:09.2322178Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2322301Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2322531Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2322612Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2322865Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2322960Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2323221Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2323342Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2323589Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2323715Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2323990Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2324133Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2324399Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.2324565Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.2324569Z 
2025-08-14T21:30:09.2324689Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2324905Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2324975Z     return mod(*inputs)
2025-08-14T21:30:09.2325235Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2325312Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2325549Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2325633Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2325877Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2325979Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2326229Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2326346Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2326597Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2326716Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2326996Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.2327114Z     query, key, value = [
2025-08-14T21:30:09.2327403Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.2327531Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.2327536Z 
2025-08-14T21:30:09.2327650Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2327876Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2327946Z     return mod(*inputs)
2025-08-14T21:30:09.2328198Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2328283Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2328513Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2328594Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2328850Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2328993Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2329253Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2329371Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2329616Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2329744Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2330101Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2330250Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2330529Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.2330630Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.2330637Z 
2025-08-14T21:30:09.2330761Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2330980Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2331051Z     return mod(*inputs)
2025-08-14T21:30:09.2331317Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2331396Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2331636Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2331718Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2331964Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2332069Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2332326Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2332446Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2332705Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2332826Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2333106Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2333247Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2333508Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.2333614Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.2333618Z 
2025-08-14T21:30:09.2333730Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2334004Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2334078Z     return mod(*inputs)
2025-08-14T21:30:09.2334333Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2334417Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2334643Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2334724Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2334978Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2335071Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2335329Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2335450Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2335697Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2335861Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2336129Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:30:09.2336280Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:30:09.2336292Z 
2025-08-14T21:30:09.2336406Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2336619Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2336698Z     return mod(*inputs)
2025-08-14T21:30:09.2336947Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2337024Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2337258Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2337341Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2337587Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2337683Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2337931Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2338054Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2338295Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2338411Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2338684Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-14T21:30:09.2338767Z     return self.output_linear(x)
2025-08-14T21:30:09.2338773Z 
2025-08-14T21:30:09.2338892Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2339105Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2339174Z     return mod(*inputs)
2025-08-14T21:30:09.2339429Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2339507Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2339730Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2339817Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2340059Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2340160Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2340447Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2340568Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2340839Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2340964Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2340968Z 
2025-08-14T21:30:09.2341086Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2341298Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2341368Z     return mod(*inputs)
2025-08-14T21:30:09.2341624Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2341700Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2341929Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2342018Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2342315Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2342418Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2342666Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2342781Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2343049Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2343173Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2343177Z 
2025-08-14T21:30:09.2343297Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2343509Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2343581Z     return mod(*inputs)
2025-08-14T21:30:09.2343838Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2343916Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2344153Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2344243Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2344498Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2344605Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2344875Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2344989Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2345275Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2345400Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2345407Z 
2025-08-14T21:30:09.2345516Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2345758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2345831Z     return mod(*inputs)
2025-08-14T21:30:09.2346105Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2346181Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2346423Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2346515Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2346755Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2346901Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2347185Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2347303Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2347307Z 
2025-08-14T21:30:09.2347427Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2347664Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2347732Z     return mod(*inputs)
2025-08-14T21:30:09.2348014Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2348093Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2348341Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2348420Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2348677Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2348822Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2349095Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2349207Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2349475Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2349595Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2349887Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.2349964Z     query, key, value = [
2025-08-14T21:30:09.2350247Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.2350379Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.2350383Z 
2025-08-14T21:30:09.2350501Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2350723Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2350795Z     return mod(*inputs)
2025-08-14T21:30:09.2351068Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2351153Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2351382Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2351464Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2351716Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2351810Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2352076Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2352196Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2352440Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2352566Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2352836Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.2352912Z     query, key, value = [
2025-08-14T21:30:09.2353202Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.2353319Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.2353323Z 
2025-08-14T21:30:09.2353443Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2353709Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2353785Z     return mod(*inputs)
2025-08-14T21:30:09.2354042Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2354117Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2354349Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2354429Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2354672Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2354772Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2355022Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2355136Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2355390Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2355547Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2355823Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2355965Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2356224Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.2356399Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.2356403Z 
2025-08-14T21:30:09.2356513Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2356735Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2356806Z     return mod(*inputs)
2025-08-14T21:30:09.2357056Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2357144Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2357370Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2357451Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2357703Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2357799Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2358056Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2358172Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2358416Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2358542Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2358820Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2358962Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2359227Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.2359392Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.2359395Z 
2025-08-14T21:30:09.2359516Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2359733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2359803Z     return mod(*inputs)
2025-08-14T21:30:09.2360068Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2360145Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2360421Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2360507Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2360750Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2360854Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2361102Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2361217Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2361466Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2361583Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2361855Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2362188Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2362760Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.2362944Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.2362948Z 
2025-08-14T21:30:09.2363063Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2363288Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2363360Z     return mod(*inputs)
2025-08-14T21:30:09.2363613Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2363705Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2363932Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2364018Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2364272Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2364372Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2364637Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2364754Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2364994Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2365122Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2365395Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.2365478Z     query, key, value = [
2025-08-14T21:30:09.2365758Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.2365878Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.2365885Z 
2025-08-14T21:30:09.2366004Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2366217Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2366287Z     return mod(*inputs)
2025-08-14T21:30:09.2366554Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2366629Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2366861Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2366940Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2367184Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2367348Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2367609Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2367726Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2367978Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2368095Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2368372Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2368513Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2368775Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.2368881Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.2368885Z 
2025-08-14T21:30:09.2369001Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2369273Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2369343Z     return mod(*inputs)
2025-08-14T21:30:09.2369600Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2369688Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2369914Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2370048Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2370308Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2370403Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2370666Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2370787Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2371035Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2371161Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2371431Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2371574Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2371832Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.2371929Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.2371933Z 
2025-08-14T21:30:09.2372052Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2372267Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2372339Z     return mod(*inputs)
2025-08-14T21:30:09.2372596Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2372674Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2372909Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2372992Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2373234Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2373337Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2373597Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2373714Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2373962Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2374120Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2374400Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:30:09.2374553Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:30:09.2374557Z 
2025-08-14T21:30:09.2374669Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2374891Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2374961Z     return mod(*inputs)
2025-08-14T21:30:09.2375217Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2375295Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2375518Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2375607Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2375848Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2375979Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2376236Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2376350Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2376599Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2376720Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2376991Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-14T21:30:09.2377085Z     return self.output_linear(x)
2025-08-14T21:30:09.2377089Z 
2025-08-14T21:30:09.2377206Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2377435Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2377512Z     return mod(*inputs)
2025-08-14T21:30:09.2377763Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2377852Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2378081Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2378166Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2378417Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2378517Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2378777Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2378898Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2379166Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2379307Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2379311Z 
2025-08-14T21:30:09.2379430Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2379647Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2379728Z     return mod(*inputs)
2025-08-14T21:30:09.2379979Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2380078Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2380307Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2380390Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2380700Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2380800Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2381059Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2381174Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2381439Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2381574Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2381577Z 
2025-08-14T21:30:09.2381688Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2381903Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2381984Z     return mod(*inputs)
2025-08-14T21:30:09.2382241Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2382326Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2382587Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2382668Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2382918Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2383012Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2383261Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2383384Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2383646Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2383787Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2383791Z 
2025-08-14T21:30:09.2383900Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2384110Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2384188Z     return mod(*inputs)
2025-08-14T21:30:09.2384429Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2384512Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2384732Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2384810Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2385058Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2385152Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2385411Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2385535Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2385779Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2385905Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2386172Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.2386246Z     query, key, value = [
2025-08-14T21:30:09.2386538Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.2386652Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.2386656Z 
2025-08-14T21:30:09.2386774Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2386980Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2387088Z     return mod(*inputs)
2025-08-14T21:30:09.2387339Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2387417Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2387637Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2387721Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2387953Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2388051Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2388294Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2388403Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2388645Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2388761Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2389057Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.2389137Z     query, key, value = [
2025-08-14T21:30:09.2389405Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.2389526Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.2389530Z 
2025-08-14T21:30:09.2389640Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2389847Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2389923Z     return mod(*inputs)
2025-08-14T21:30:09.2390166Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2390251Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2390466Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2390547Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2390787Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2390879Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2391120Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2391237Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2391474Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2391594Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2391856Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2391993Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2392255Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.2392416Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.2392421Z 
2025-08-14T21:30:09.2392535Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2392743Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2392812Z     return mod(*inputs)
2025-08-14T21:30:09.2393063Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2393139Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2393356Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2393493Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2393732Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2393832Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2394078Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2394187Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2394430Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2394542Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2394802Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2394944Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2395195Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.2395400Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.2395404Z 
2025-08-14T21:30:09.2395514Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2395722Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2395800Z     return mod(*inputs)
2025-08-14T21:30:09.2396043Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2396125Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2396372Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2396452Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2396704Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2396798Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2397063Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2397182Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2397423Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2397544Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2397808Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2397943Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2398241Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:30:09.2398401Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:30:09.2398407Z 
2025-08-14T21:30:09.2398524Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2398734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2398801Z     return mod(*inputs)
2025-08-14T21:30:09.2399051Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2399127Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2399343Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2399430Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2399668Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2399767Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2400051Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2400170Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2400414Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2400528Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2400812Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-14T21:30:09.2400887Z     query, key, value = [
2025-08-14T21:30:09.2401169Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-14T21:30:09.2401297Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-14T21:30:09.2401301Z 
2025-08-14T21:30:09.2401412Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2401630Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2401749Z     return mod(*inputs)
2025-08-14T21:30:09.2402007Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2402092Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2402315Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2402395Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2402646Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2402748Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2402991Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2403108Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2403350Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2403472Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2403732Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2403866Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2404129Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.2404225Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.2404229Z 
2025-08-14T21:30:09.2404346Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2404586Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2404658Z     return mod(*inputs)
2025-08-14T21:30:09.2404920Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2405000Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2405224Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2405311Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2405551Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2405651Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2405897Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2406008Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2406258Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2406374Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2406684Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:30:09.2406837Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:30:09.2407092Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:30:09.2407196Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:30:09.2407200Z 
2025-08-14T21:30:09.2407313Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2407528Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2407605Z     return mod(*inputs)
2025-08-14T21:30:09.2407861Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2407946Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2408169Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2408287Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2408545Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2408640Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2408894Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2409017Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2409262Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2409390Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2409667Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:30:09.2409819Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:30:09.2409826Z 
2025-08-14T21:30:09.2410029Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2410257Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2410337Z     return mod(*inputs)
2025-08-14T21:30:09.2410589Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2410668Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2410903Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2410986Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2411228Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:30:09.2411337Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:30:09.2411590Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2411719Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2411962Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:30:09.2412082Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:30:09.2412360Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-14T21:30:09.2412442Z     return self.output_linear(x)
2025-08-14T21:30:09.2412446Z 
2025-08-14T21:30:09.2412569Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2412787Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2412860Z     return mod(*inputs)
2025-08-14T21:30:09.2413163Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2413243Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2413473Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2413564Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2413806Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2413910Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2414165Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2414281Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2414553Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2414681Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2414684Z 
2025-08-14T21:30:09.2414800Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2415054Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2415124Z     return mod(*inputs)
2025-08-14T21:30:09.2415391Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2415464Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2415686Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2415773Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2416006Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2416095Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2416344Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2416457Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2416722Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2416851Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2416855Z 
2025-08-14T21:30:09.2416957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2417160Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2417223Z     return mod(*inputs)
2025-08-14T21:30:09.2417465Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2417539Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2417754Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2417840Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2418078Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2418169Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2418415Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2418523Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2418782Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:30:09.2418901Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:30:09.2418904Z 
2025-08-14T21:30:09.2419011Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2419227Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2419294Z     return mod(*inputs)
2025-08-14T21:30:09.2419589Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:30:09.2419669Z     x = self.bert(x, segment_label)
2025-08-14T21:30:09.2419887Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:30:09.2419971Z     x = transformer.forward(x, mask)
2025-08-14T21:30:09.2420205Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:30:09.2420294Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:30:09.2420544Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:30:09.2420656Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:30:09.2420661Z 
2025-08-14T21:30:09.2420776Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2420993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2421062Z     return mod(*inputs)
2025-08-14T21:30:09.2421357Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward
2025-08-14T21:30:09.2421455Z     return self.next_sentence(x), self.mask_lm(x)
2025-08-14T21:30:09.2421697Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward
2025-08-14T21:30:09.2421799Z     return self.softmax(self.linear(x[:, 0]))
2025-08-14T21:30:09.2421803Z 
2025-08-14T21:30:09.2421911Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:09.2422126Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:09.2422195Z     return mod(*inputs)
2025-08-14T21:30:09.2422442Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward
2025-08-14T21:30:09.2422551Z     return self.next_sentence(x), self.mask_lm(x)
2025-08-14T21:30:09.2422803Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 61, in forward
2025-08-14T21:30:09.2422900Z     return self.softmax(self.linear(x))
2025-08-14T21:30:09.2422904Z 
2025-08-14T21:30:28.3530047Z Compilation time (from dynamo_timed): 43.504753191
2025-08-14T21:30:28.3589786Z pass
2025-08-14T21:30:28.3596625Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:30:28.3599393Z TIMING: _recursive_pre_grad_passes:0.00941 _recursive_joint_graph_passes:1.30777 _recursive_post_grad_passes:0.9894 async_compile.wait:0.74666 code_gen:17.55657 inductor_compile:22.87643 backend_compile:36.28089 gc:0.00025 entire_frame_compile:43.50475 total_wall_time:43.50475
2025-08-14T21:30:28.3606877Z STATS: call_* op count: 543 | FakeTensor.__torch_dispatch__:5582 | FakeTensorMode.__torch_dispatch__:17323 | attempt fast:84 | fast is_contiguous:84 | ProxyTorchDispatchMode.__torch_dispatch__:6314
2025-08-14T21:30:28.3608184Z Dynamo produced 1 graphs covering 543 ops with 0 graph breaks (0 unique)
2025-08-14T21:30:33.5364689Z 
2025-08-14T21:30:36.5352334Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:30:36.5353613Z loading model: 0it [00:02, ?it/s]
2025-08-14T21:30:36.5367322Z cpu  eval  Background_Matting                 
2025-08-14T21:30:36.6060173Z Compilation time (from dynamo_timed): 0
2025-08-14T21:30:36.6061970Z pass_due_to_skip
2025-08-14T21:30:36.6063003Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:30:36.6063395Z TIMING: total_wall_time:0
2025-08-14T21:30:36.6063602Z STATS: call_* op count: 0
2025-08-14T21:30:36.6063889Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-14T21:30:40.1661018Z 
2025-08-14T21:30:41.9027859Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:30:41.9028157Z loading model: 0it [00:01, ?it/s]
2025-08-14T21:30:41.9031611Z cpu  eval  LearningToPaint                    
2025-08-14T21:30:41.9949426Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:30:42.0260858Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:30:42.0765554Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:30:48.2622974Z cudagraph partition due to non gpu ops
2025-08-14T21:30:48.2628430Z cudagraph partition due to non gpu ops
2025-08-14T21:30:48.2632979Z cudagraph partition due to non gpu ops
2025-08-14T21:30:48.2633373Z cudagraph partition due to non gpu ops
2025-08-14T21:30:48.2633616Z cudagraph partition due to non gpu ops
2025-08-14T21:30:48.2633846Z cudagraph partition due to non gpu ops
2025-08-14T21:30:48.2634093Z cudagraph partition due to non gpu ops
2025-08-14T21:30:48.2634312Z cudagraph partition due to non gpu ops
2025-08-14T21:30:48.2634551Z cudagraph partition due to non gpu ops
2025-08-14T21:30:48.2634833Z cudagraph partition due to non gpu ops
2025-08-14T21:30:48.2635576Z cudagraph partition due to non gpu ops
2025-08-14T21:30:48.2635797Z cudagraph partition due to non gpu ops
2025-08-14T21:30:48.2636032Z cudagraph partition due to non gpu ops
2025-08-14T21:30:48.2636271Z cudagraph partition due to non gpu ops
2025-08-14T21:30:48.2636492Z cudagraph partition due to non gpu ops
2025-08-14T21:30:48.2636716Z cudagraph partition due to non gpu ops
2025-08-14T21:30:48.2636958Z cudagraph partition due to non gpu ops
2025-08-14T21:30:48.2637191Z cudagraph partition due to non gpu ops
2025-08-14T21:30:48.2637459Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2637894Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2638257Z     return mod(*inputs)
2025-08-14T21:30:48.2638624Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward
2025-08-14T21:30:48.2639014Z     x = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:30:48.2639167Z 
2025-08-14T21:30:48.2639299Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2639695Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2640055Z     return mod(*inputs)
2025-08-14T21:30:48.2640426Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward
2025-08-14T21:30:48.2640818Z     x = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:30:48.2640974Z 
2025-08-14T21:30:48.2641100Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2641482Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2641825Z     return mod(*inputs)
2025-08-14T21:30:48.2642167Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-14T21:30:48.2642565Z     x = self.layer1(x)
2025-08-14T21:30:48.2642931Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:30:48.2643336Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:30:48.2643484Z 
2025-08-14T21:30:48.2643600Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2643997Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2644358Z     return mod(*inputs)
2025-08-14T21:30:48.2644712Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-14T21:30:48.2645100Z     x = self.layer1(x)
2025-08-14T21:30:48.2645450Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:30:48.2645841Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:30:48.2645987Z 
2025-08-14T21:30:48.2646100Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2646617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2646991Z     return mod(*inputs)
2025-08-14T21:30:48.2647339Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-14T21:30:48.2647806Z     x = self.layer1(x)
2025-08-14T21:30:48.2648148Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-14T21:30:48.2648537Z     out = self.bn2(self.conv2(out))
2025-08-14T21:30:48.2648680Z 
2025-08-14T21:30:48.2648802Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2649205Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2649563Z     return mod(*inputs)
2025-08-14T21:30:48.2649916Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-14T21:30:48.2650304Z     x = self.layer1(x)
2025-08-14T21:30:48.2651008Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-08-14T21:30:48.2651470Z     out += self.shortcut(x)
2025-08-14T21:30:48.2651595Z 
2025-08-14T21:30:48.2651716Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2652108Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2652441Z     return mod(*inputs)
2025-08-14T21:30:48.2652786Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-14T21:30:48.2653147Z     x = self.layer1(x)
2025-08-14T21:30:48.2653475Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:30:48.2653849Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:30:48.2653991Z 
2025-08-14T21:30:48.2654108Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2654486Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2654820Z     return mod(*inputs)
2025-08-14T21:30:48.2655163Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-14T21:30:48.2655525Z     x = self.layer1(x)
2025-08-14T21:30:48.2655849Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:30:48.2656223Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:30:48.2656417Z 
2025-08-14T21:30:48.2656552Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2656927Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2657263Z     return mod(*inputs)
2025-08-14T21:30:48.2657600Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-14T21:30:48.2657959Z     x = self.layer1(x)
2025-08-14T21:30:48.2658348Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-14T21:30:48.2658731Z     out = self.bn2(self.conv2(out))
2025-08-14T21:30:48.2658866Z 
2025-08-14T21:30:48.2658985Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2659361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2659697Z     return mod(*inputs)
2025-08-14T21:30:48.2660041Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-14T21:30:48.2660403Z     x = self.layer1(x)
2025-08-14T21:30:48.2660731Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-08-14T21:30:48.2661092Z     out = F.relu(out)
2025-08-14T21:30:48.2661196Z 
2025-08-14T21:30:48.2661312Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2661690Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2662385Z     return mod(*inputs)
2025-08-14T21:30:48.2662756Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-14T21:30:48.2663142Z     x = self.layer2(x)
2025-08-14T21:30:48.2663471Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:30:48.2663849Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:30:48.2663989Z 
2025-08-14T21:30:48.2664105Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2664482Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2664819Z     return mod(*inputs)
2025-08-14T21:30:48.2665165Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-14T21:30:48.2665531Z     x = self.layer2(x)
2025-08-14T21:30:48.2665856Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:30:48.2666230Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:30:48.2666433Z 
2025-08-14T21:30:48.2666548Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2666924Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2667259Z     return mod(*inputs)
2025-08-14T21:30:48.2667597Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-14T21:30:48.2667959Z     x = self.layer2(x)
2025-08-14T21:30:48.2668286Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-14T21:30:48.2668661Z     out = self.bn2(self.conv2(out))
2025-08-14T21:30:48.2668796Z 
2025-08-14T21:30:48.2668913Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2669292Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2669630Z     return mod(*inputs)
2025-08-14T21:30:48.2669974Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-14T21:30:48.2670340Z     x = self.layer2(x)
2025-08-14T21:30:48.2670668Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-08-14T21:30:48.2671041Z     out += self.shortcut(x)
2025-08-14T21:30:48.2671161Z 
2025-08-14T21:30:48.2671275Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2671655Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2671990Z     return mod(*inputs)
2025-08-14T21:30:48.2672327Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-14T21:30:48.2672689Z     x = self.layer2(x)
2025-08-14T21:30:48.2673015Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:30:48.2673394Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:30:48.2673539Z 
2025-08-14T21:30:48.2673654Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2674037Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2674371Z     return mod(*inputs)
2025-08-14T21:30:48.2674711Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-14T21:30:48.2675072Z     x = self.layer2(x)
2025-08-14T21:30:48.2675401Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:30:48.2675775Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:30:48.2675916Z 
2025-08-14T21:30:48.2676033Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2676410Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2676748Z     return mod(*inputs)
2025-08-14T21:30:48.2677128Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-14T21:30:48.2677493Z     x = self.layer2(x)
2025-08-14T21:30:48.2677815Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-14T21:30:48.2678184Z     out = self.bn2(self.conv2(out))
2025-08-14T21:30:48.2678316Z 
2025-08-14T21:30:48.2678430Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2678805Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2679136Z     return mod(*inputs)
2025-08-14T21:30:48.2679476Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-14T21:30:48.2679835Z     x = self.layer2(x)
2025-08-14T21:30:48.2680159Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-08-14T21:30:48.2680516Z     out = F.relu(out)
2025-08-14T21:30:48.2680622Z 
2025-08-14T21:30:48.2680736Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2681144Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2681472Z     return mod(*inputs)
2025-08-14T21:30:48.2681810Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-14T21:30:48.2682168Z     x = self.layer3(x)
2025-08-14T21:30:48.2682488Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:30:48.2682855Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:30:48.2682992Z 
2025-08-14T21:30:48.2683106Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2683476Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2683805Z     return mod(*inputs)
2025-08-14T21:30:48.2684143Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-14T21:30:48.2684503Z     x = self.layer3(x)
2025-08-14T21:30:48.2684825Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:30:48.2685186Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:30:48.2685324Z 
2025-08-14T21:30:48.2685439Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2685809Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2686142Z     return mod(*inputs)
2025-08-14T21:30:48.2686488Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-14T21:30:48.2686854Z     x = self.layer3(x)
2025-08-14T21:30:48.2687187Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-14T21:30:48.2687562Z     out = self.bn2(self.conv2(out))
2025-08-14T21:30:48.2687705Z 
2025-08-14T21:30:48.2687822Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2688200Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2688566Z     return mod(*inputs)
2025-08-14T21:30:48.2688931Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-14T21:30:48.2689321Z     x = self.layer3(x)
2025-08-14T21:30:48.2689652Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-08-14T21:30:48.2690026Z     out += self.shortcut(x)
2025-08-14T21:30:48.2690145Z 
2025-08-14T21:30:48.2690261Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2690833Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2691206Z     return mod(*inputs)
2025-08-14T21:30:48.2691646Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-14T21:30:48.2692117Z     x = self.layer3(x)
2025-08-14T21:30:48.2692476Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:30:48.2692905Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:30:48.2693048Z 
2025-08-14T21:30:48.2693166Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2693572Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2693936Z     return mod(*inputs)
2025-08-14T21:30:48.2694304Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-14T21:30:48.2694700Z     x = self.layer3(x)
2025-08-14T21:30:48.2695030Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:30:48.2695409Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:30:48.2695552Z 
2025-08-14T21:30:48.2695676Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2696106Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2696487Z     return mod(*inputs)
2025-08-14T21:30:48.2696833Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-14T21:30:48.2697236Z     x = self.layer3(x)
2025-08-14T21:30:48.2697540Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-14T21:30:48.2697898Z     out = self.bn2(self.conv2(out))
2025-08-14T21:30:48.2698019Z 
2025-08-14T21:30:48.2698125Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2698470Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2698775Z     return mod(*inputs)
2025-08-14T21:30:48.2699086Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-14T21:30:48.2699424Z     x = self.layer3(x)
2025-08-14T21:30:48.2699725Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-08-14T21:30:48.2700051Z     out = F.relu(out)
2025-08-14T21:30:48.2700146Z 
2025-08-14T21:30:48.2700250Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2700596Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2700899Z     return mod(*inputs)
2025-08-14T21:30:48.2701210Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-14T21:30:48.2701537Z     x = self.layer4(x)
2025-08-14T21:30:48.2701833Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:30:48.2702172Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:30:48.2702300Z 
2025-08-14T21:30:48.2702405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2702752Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2703061Z     return mod(*inputs)
2025-08-14T21:30:48.2703370Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-14T21:30:48.2703707Z     x = self.layer4(x)
2025-08-14T21:30:48.2704007Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:30:48.2704350Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:30:48.2704486Z 
2025-08-14T21:30:48.2704586Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2704934Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2705239Z     return mod(*inputs)
2025-08-14T21:30:48.2705553Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-14T21:30:48.2705929Z     x = self.layer4(x)
2025-08-14T21:30:48.2706228Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-14T21:30:48.2706566Z     out = self.bn2(self.conv2(out))
2025-08-14T21:30:48.2706695Z 
2025-08-14T21:30:48.2706794Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2707138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2707441Z     return mod(*inputs)
2025-08-14T21:30:48.2707748Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-14T21:30:48.2708077Z     x = self.layer4(x)
2025-08-14T21:30:48.2708381Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-08-14T21:30:48.2708728Z     out += self.shortcut(x)
2025-08-14T21:30:48.2708845Z 
2025-08-14T21:30:48.2708944Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2709305Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2710366Z     return mod(*inputs)
2025-08-14T21:30:48.2710678Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-14T21:30:48.2711013Z     x = self.layer4(x)
2025-08-14T21:30:48.2711312Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:30:48.2711663Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:30:48.2711802Z 
2025-08-14T21:30:48.2711906Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2712270Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2712575Z     return mod(*inputs)
2025-08-14T21:30:48.2712887Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-14T21:30:48.2713217Z     x = self.layer4(x)
2025-08-14T21:30:48.2713518Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:30:48.2713862Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:30:48.2713999Z 
2025-08-14T21:30:48.2714101Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2714453Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2714762Z     return mod(*inputs)
2025-08-14T21:30:48.2715078Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-14T21:30:48.2715415Z     x = self.layer4(x)
2025-08-14T21:30:48.2715721Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-14T21:30:48.2716067Z     out = self.bn2(self.conv2(out))
2025-08-14T21:30:48.2716197Z 
2025-08-14T21:30:48.2716298Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2716659Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2716975Z     return mod(*inputs)
2025-08-14T21:30:48.2717293Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-14T21:30:48.2717635Z     x = self.layer4(x)
2025-08-14T21:30:48.2717945Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-08-14T21:30:48.2718284Z     out = F.relu(out)
2025-08-14T21:30:48.2718386Z 
2025-08-14T21:30:48.2718486Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2718836Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2719153Z     return mod(*inputs)
2025-08-14T21:30:48.2719470Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 133, in forward
2025-08-14T21:30:48.2719820Z     x = F.avg_pool2d(x, 4)
2025-08-14T21:30:48.2719933Z 
2025-08-14T21:30:48.2720078Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2720442Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2720766Z     return mod(*inputs)
2025-08-14T21:30:48.2721087Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 135, in forward
2025-08-14T21:30:48.2721426Z     x = self.fc(x)
2025-08-14T21:30:48.2721527Z 
2025-08-14T21:30:48.2721627Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:48.2721983Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:30:48.2722297Z     return mod(*inputs)
2025-08-14T21:30:48.2722617Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 136, in forward
2025-08-14T21:30:48.2722963Z     x = torch.sigmoid(x)
2025-08-14T21:30:48.2723074Z 
2025-08-14T21:30:57.3850873Z Compilation time (from dynamo_timed): 14.383222518
2025-08-14T21:30:57.3851231Z pass
2025-08-14T21:30:57.3855626Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:30:57.3856813Z TIMING: _recursive_pre_grad_passes:0.00517 _recursive_joint_graph_passes:0.14325 _recursive_post_grad_passes:0.05397 async_compile.wait:0.68954 code_gen:8.00777 inductor_compile:9.34125 backend_compile:11.61702 gc:0.00158 entire_frame_compile:14.38322 total_wall_time:14.38322
2025-08-14T21:30:57.3857893Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:4739 | attempt fast:38 | fast is_contiguous:38 | FakeTensor.__torch_dispatch__:2402 | ProxyTorchDispatchMode.__torch_dispatch__:1906
2025-08-14T21:30:57.3858505Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique)
2025-08-14T21:31:01.6966940Z 
2025-08-14T21:31:02.6280652Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/vgg16-397923af.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/vgg16-397923af.pth
2025-08-14T21:31:02.6426748Z 
2025-08-14T21:31:02.6427106Z 
2025-08-14T21:31:02.7429539Z   0% 0.00/528M [00:00<?, ?B/s]
2025-08-14T21:31:02.7429777Z 
2025-08-14T21:31:02.8431856Z  10% 54.5M/528M [00:00<00:00, 571MB/s]
2025-08-14T21:31:02.8434794Z 
2025-08-14T21:31:02.9443341Z  21% 112M/528M [00:00<00:00, 587MB/s] 
2025-08-14T21:31:02.9445386Z 
2025-08-14T21:31:03.0846281Z  32% 168M/528M [00:00<00:00, 585MB/s]
2025-08-14T21:31:03.0849206Z 
2025-08-14T21:31:03.1872703Z  42% 224M/528M [00:00<00:00, 505MB/s]
2025-08-14T21:31:03.1872911Z 
2025-08-14T21:31:03.2874032Z  52% 273M/528M [00:00<00:00, 506MB/s]
2025-08-14T21:31:03.2876093Z 
2025-08-14T21:31:03.3872613Z  63% 330M/528M [00:00<00:00, 535MB/s]
2025-08-14T21:31:03.3872841Z 
2025-08-14T21:31:03.4880028Z  73% 387M/528M [00:00<00:00, 553MB/s]
2025-08-14T21:31:03.4880266Z 
2025-08-14T21:31:03.5900073Z  84% 441M/528M [00:00<00:00, 557MB/s]
2025-08-14T21:31:03.5905601Z 
2025-08-14T21:31:03.6490495Z  94% 494M/528M [00:00<00:00, 556MB/s]
2025-08-14T21:31:03.6492265Z 100% 528M/528M [00:01<00:00, 551MB/s]
2025-08-14T21:31:05.2532620Z 
2025-08-14T21:31:05.2533476Z loading model: 0it [00:03, ?it/s]
2025-08-14T21:31:05.2550770Z cpu  eval  Super_SloMo                        
2025-08-14T21:31:31.1980943Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:31:32.6808311Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:31:34.1811493Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:32:02.8700052Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8700621Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8700989Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8701345Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8701695Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8702033Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8702865Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8703248Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8703582Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8703851Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8704199Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8704524Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8704855Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8705794Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8706078Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8706357Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8706589Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8706806Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8707033Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8707258Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8707472Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8707715Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8708217Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8708445Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8708665Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8708892Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8709118Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8709331Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8709555Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8709797Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8710018Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8710242Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8710470Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8710694Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8710930Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8711158Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8711435Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8711671Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8711905Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8712130Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8712363Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8712597Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8712811Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8713041Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8713345Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8713574Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8713811Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8714039Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8714346Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8714578Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8714856Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8715291Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8715668Z     return mod(*inputs)
2025-08-14T21:32:02.8716005Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8716390Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8716572Z 
2025-08-14T21:32:02.8716658Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8716920Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8717307Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8717667Z     return mod(*inputs)
2025-08-14T21:32:02.8717985Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8718359Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8718853Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-08-14T21:32:02.8719268Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8719439Z 
2025-08-14T21:32:02.8719572Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8719967Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8720340Z     return mod(*inputs)
2025-08-14T21:32:02.8720658Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8721035Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8721398Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-08-14T21:32:02.8721772Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8721935Z 
2025-08-14T21:32:02.8722057Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8722449Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8722893Z     return mod(*inputs)
2025-08-14T21:32:02.8723202Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8723572Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8723923Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-08-14T21:32:02.8724307Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.8724477Z 
2025-08-14T21:32:02.8724598Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8725012Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8725384Z     return mod(*inputs)
2025-08-14T21:32:02.8725717Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8726112Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8726480Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-14T21:32:02.8726834Z     s2 = self.down1(s1)
2025-08-14T21:32:02.8727151Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-14T21:32:02.8727504Z     x = F.avg_pool2d(x, 2)
2025-08-14T21:32:02.8727626Z 
2025-08-14T21:32:02.8727741Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8728158Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8728802Z     return mod(*inputs)
2025-08-14T21:32:02.8729122Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8729522Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8729907Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-14T21:32:02.8730252Z     s2 = self.down1(s1)
2025-08-14T21:32:02.8730564Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:32:02.8730938Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8731104Z 
2025-08-14T21:32:02.8731221Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8731612Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8731976Z     return mod(*inputs)
2025-08-14T21:32:02.8732294Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8732667Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8733039Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-14T21:32:02.8733395Z     s2 = self.down1(s1)
2025-08-14T21:32:02.8733711Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:32:02.8734120Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8734307Z 
2025-08-14T21:32:02.8734417Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8734805Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8735155Z     return mod(*inputs)
2025-08-14T21:32:02.8735463Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8735830Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8736193Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-14T21:32:02.8736521Z     s2 = self.down1(s1)
2025-08-14T21:32:02.8736828Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:32:02.8737191Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.8737350Z 
2025-08-14T21:32:02.8737471Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8737861Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8738260Z     return mod(*inputs)
2025-08-14T21:32:02.8738571Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8738933Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8739296Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-14T21:32:02.8739642Z     s3 = self.down2(s2)
2025-08-14T21:32:02.8739969Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-14T21:32:02.8740313Z     x = F.avg_pool2d(x, 2)
2025-08-14T21:32:02.8740443Z 
2025-08-14T21:32:02.8740557Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8740959Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8741327Z     return mod(*inputs)
2025-08-14T21:32:02.8741646Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8742023Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8742397Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-14T21:32:02.8742732Z     s3 = self.down2(s2)
2025-08-14T21:32:02.8743043Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:32:02.8743420Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8743588Z 
2025-08-14T21:32:02.8743704Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8744105Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8744464Z     return mod(*inputs)
2025-08-14T21:32:02.8744783Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8745164Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8745545Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-14T21:32:02.8745895Z     s3 = self.down2(s2)
2025-08-14T21:32:02.8746201Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:32:02.8746579Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8746749Z 
2025-08-14T21:32:02.8746862Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8747261Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8747616Z     return mod(*inputs)
2025-08-14T21:32:02.8747935Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8748315Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8748723Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-14T21:32:02.8749070Z     s3 = self.down2(s2)
2025-08-14T21:32:02.8749393Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:32:02.8749769Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.8750048Z 
2025-08-14T21:32:02.8750169Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8750573Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8750942Z     return mod(*inputs)
2025-08-14T21:32:02.8751253Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8751643Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8752020Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-14T21:32:02.8752369Z     s4 = self.down3(s3)
2025-08-14T21:32:02.8752680Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-14T21:32:02.8753079Z     x = F.avg_pool2d(x, 2)
2025-08-14T21:32:02.8753202Z 
2025-08-14T21:32:02.8753339Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8753736Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8754119Z     return mod(*inputs)
2025-08-14T21:32:02.8754437Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8754817Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8755186Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-14T21:32:02.8755537Z     s4 = self.down3(s3)
2025-08-14T21:32:02.8755856Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:32:02.8756224Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8756401Z 
2025-08-14T21:32:02.8756517Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8756934Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8757314Z     return mod(*inputs)
2025-08-14T21:32:02.8757630Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8758015Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8758406Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-14T21:32:02.8758744Z     s4 = self.down3(s3)
2025-08-14T21:32:02.8759056Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:32:02.8759428Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8759591Z 
2025-08-14T21:32:02.8759713Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8760115Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8760493Z     return mod(*inputs)
2025-08-14T21:32:02.8760813Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8761191Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8761570Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-14T21:32:02.8761915Z     s4 = self.down3(s3)
2025-08-14T21:32:02.8762459Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:32:02.8762835Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.8763014Z 
2025-08-14T21:32:02.8763131Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8763541Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8763899Z     return mod(*inputs)
2025-08-14T21:32:02.8764328Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8764717Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8765089Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-14T21:32:02.8765420Z     s5 = self.down4(s4)
2025-08-14T21:32:02.8765733Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-14T21:32:02.8766077Z     x = F.avg_pool2d(x, 2)
2025-08-14T21:32:02.8766199Z 
2025-08-14T21:32:02.8766311Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8766711Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8767075Z     return mod(*inputs)
2025-08-14T21:32:02.8767398Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8767785Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8768159Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-14T21:32:02.8768655Z     s5 = self.down4(s4)
2025-08-14T21:32:02.8768972Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:32:02.8769347Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8769524Z 
2025-08-14T21:32:02.8769637Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8770054Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8770430Z     return mod(*inputs)
2025-08-14T21:32:02.8770755Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8771139Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8771508Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-14T21:32:02.8771861Z     s5 = self.down4(s4)
2025-08-14T21:32:02.8772179Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:32:02.8772578Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8772746Z 
2025-08-14T21:32:02.8772857Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8773269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8773649Z     return mod(*inputs)
2025-08-14T21:32:02.8773960Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8774341Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8774714Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-14T21:32:02.8775063Z     s5 = self.down4(s4)
2025-08-14T21:32:02.8775370Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:32:02.8775745Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.8775916Z 
2025-08-14T21:32:02.8776049Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8776436Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8776793Z     return mod(*inputs)
2025-08-14T21:32:02.8777104Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8777476Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8777831Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-14T21:32:02.8778181Z     x = self.down5(s5)
2025-08-14T21:32:02.8778493Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-14T21:32:02.8778821Z     x = F.avg_pool2d(x, 2)
2025-08-14T21:32:02.8778947Z 
2025-08-14T21:32:02.8779119Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8779512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8779867Z     return mod(*inputs)
2025-08-14T21:32:02.8780167Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8780532Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8780887Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-14T21:32:02.8781212Z     x = self.down5(s5)
2025-08-14T21:32:02.8781516Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:32:02.8781874Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8782032Z 
2025-08-14T21:32:02.8782150Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8782529Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8782924Z     return mod(*inputs)
2025-08-14T21:32:02.8784394Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8784757Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8785121Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-14T21:32:02.8785463Z     x = self.down5(s5)
2025-08-14T21:32:02.8785775Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:32:02.8786132Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8786300Z 
2025-08-14T21:32:02.8786637Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8787028Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8787382Z     return mod(*inputs)
2025-08-14T21:32:02.8787693Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8788064Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8788434Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-14T21:32:02.8788761Z     x = self.down5(s5)
2025-08-14T21:32:02.8789070Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:32:02.8789432Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.8789590Z 
2025-08-14T21:32:02.8789710Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8790095Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8790450Z     return mod(*inputs)
2025-08-14T21:32:02.8790760Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8791118Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8791481Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-14T21:32:02.8791819Z     x = self.up1(x, s5)
2025-08-14T21:32:02.8792117Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:32:02.8792480Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8792647Z 
2025-08-14T21:32:02.8792755Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8793146Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8793489Z     return mod(*inputs)
2025-08-14T21:32:02.8793796Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8794163Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8794522Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-14T21:32:02.8794850Z     x = self.up1(x, s5)
2025-08-14T21:32:02.8795218Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:32:02.8795583Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8795743Z 
2025-08-14T21:32:02.8795851Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8796241Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8796594Z     return mod(*inputs)
2025-08-14T21:32:02.8796898Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8797262Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8797618Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-14T21:32:02.8797946Z     s5 = self.down4(s4)
2025-08-14T21:32:02.8798238Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:32:02.8798596Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.8798792Z 
2025-08-14T21:32:02.8798909Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8799300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8799647Z     return mod(*inputs)
2025-08-14T21:32:02.8799959Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8800325Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8800679Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-14T21:32:02.8801012Z     x = self.up1(x, s5)
2025-08-14T21:32:02.8801314Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.8801730Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.8801943Z 
2025-08-14T21:32:02.8802034Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8802295Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8802688Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8803034Z     return mod(*inputs)
2025-08-14T21:32:02.8803348Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8803719Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8804081Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-14T21:32:02.8804410Z     x = self.up1(x, s5)
2025-08-14T21:32:02.8804716Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.8805128Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.8805340Z 
2025-08-14T21:32:02.8805452Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8805845Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8806208Z     return mod(*inputs)
2025-08-14T21:32:02.8806530Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8806900Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8807272Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-14T21:32:02.8807613Z     x = self.up2(x, s4)
2025-08-14T21:32:02.8807917Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:32:02.8808379Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8808554Z 
2025-08-14T21:32:02.8808681Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8809090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8809505Z     return mod(*inputs)
2025-08-14T21:32:02.8809830Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8810213Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8810575Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-14T21:32:02.8810921Z     x = self.up2(x, s4)
2025-08-14T21:32:02.8811231Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:32:02.8811603Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8811769Z 
2025-08-14T21:32:02.8811881Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8812275Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8812638Z     return mod(*inputs)
2025-08-14T21:32:02.8812953Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8813336Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8813787Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-14T21:32:02.8814131Z     s4 = self.down3(s3)
2025-08-14T21:32:02.8814434Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:32:02.8814805Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.8814967Z 
2025-08-14T21:32:02.8815085Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8815520Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8815892Z     return mod(*inputs)
2025-08-14T21:32:02.8816213Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8816591Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8816953Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-14T21:32:02.8817298Z     x = self.up2(x, s4)
2025-08-14T21:32:02.8817606Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.8818018Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.8818242Z 
2025-08-14T21:32:02.8818333Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8818595Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8818990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8819341Z     return mod(*inputs)
2025-08-14T21:32:02.8819659Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8820032Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8820393Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-14T21:32:02.8820735Z     x = self.up2(x, s4)
2025-08-14T21:32:02.8821049Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.8821467Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.8821684Z 
2025-08-14T21:32:02.8821791Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8822164Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8822497Z     return mod(*inputs)
2025-08-14T21:32:02.8822780Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8823133Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8823474Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-14T21:32:02.8823787Z     x = self.up3(x, s3)
2025-08-14T21:32:02.8824116Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:32:02.8824459Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8824615Z 
2025-08-14T21:32:02.8824725Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8825084Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8825416Z     return mod(*inputs)
2025-08-14T21:32:02.8825707Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8826054Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8826384Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-14T21:32:02.8826699Z     x = self.up3(x, s3)
2025-08-14T21:32:02.8826986Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:32:02.8827321Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8827482Z 
2025-08-14T21:32:02.8827585Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8828002Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8828334Z     return mod(*inputs)
2025-08-14T21:32:02.8828619Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8828966Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8829307Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-14T21:32:02.8829615Z     s3 = self.down2(s2)
2025-08-14T21:32:02.8829902Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:32:02.8830241Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.8830390Z 
2025-08-14T21:32:02.8830501Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8830861Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8831196Z     return mod(*inputs)
2025-08-14T21:32:02.8831487Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8831826Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8832162Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-14T21:32:02.8832476Z     x = self.up3(x, s3)
2025-08-14T21:32:02.8832761Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.8833140Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.8833346Z 
2025-08-14T21:32:02.8833428Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8833674Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8834034Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8834367Z     return mod(*inputs)
2025-08-14T21:32:02.8834666Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8835016Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8835371Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-14T21:32:02.8835704Z     x = self.up3(x, s3)
2025-08-14T21:32:02.8836005Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.8836403Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.8836622Z 
2025-08-14T21:32:02.8836733Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8837133Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8837501Z     return mod(*inputs)
2025-08-14T21:32:02.8837895Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8838273Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8838638Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-14T21:32:02.8838968Z     x = self.up4(x, s2)
2025-08-14T21:32:02.8839270Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:32:02.8839637Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8839798Z 
2025-08-14T21:32:02.8839913Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8840296Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8840654Z     return mod(*inputs)
2025-08-14T21:32:02.8840965Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8841330Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8841694Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-14T21:32:02.8842080Z     x = self.up4(x, s2)
2025-08-14T21:32:02.8842386Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:32:02.8842743Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8842913Z 
2025-08-14T21:32:02.8843023Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8843417Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8843765Z     return mod(*inputs)
2025-08-14T21:32:02.8844081Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8844454Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8844818Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-14T21:32:02.8845152Z     s2 = self.down1(s1)
2025-08-14T21:32:02.8845465Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:32:02.8845826Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.8845987Z 
2025-08-14T21:32:02.8846099Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8846488Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8846845Z     return mod(*inputs)
2025-08-14T21:32:02.8847157Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8847515Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8847876Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-14T21:32:02.8848213Z     x = self.up4(x, s2)
2025-08-14T21:32:02.8848604Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.8849020Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.8849241Z 
2025-08-14T21:32:02.8849334Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8849602Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8849999Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8850370Z     return mod(*inputs)
2025-08-14T21:32:02.8850702Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8851066Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8851428Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-14T21:32:02.8851765Z     x = self.up4(x, s2)
2025-08-14T21:32:02.8852072Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.8852532Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.8852753Z 
2025-08-14T21:32:02.8852864Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8853253Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8853604Z     return mod(*inputs)
2025-08-14T21:32:02.8853905Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8854273Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8854631Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-14T21:32:02.8854957Z     x = self.up5(x, s1)
2025-08-14T21:32:02.8855261Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:32:02.8855620Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8855782Z 
2025-08-14T21:32:02.8855907Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8856333Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8856677Z     return mod(*inputs)
2025-08-14T21:32:02.8856983Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8857341Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8857696Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-14T21:32:02.8858029Z     x = self.up5(x, s1)
2025-08-14T21:32:02.8858318Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:32:02.8858676Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8858845Z 
2025-08-14T21:32:02.8858952Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8859340Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8859683Z     return mod(*inputs)
2025-08-14T21:32:02.8859991Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8860364Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8860719Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-08-14T21:32:02.8861080Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.8861252Z 
2025-08-14T21:32:02.8861361Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8861745Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8862326Z     return mod(*inputs)
2025-08-14T21:32:02.8862627Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8862979Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8863321Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-14T21:32:02.8863635Z     x = self.up5(x, s1)
2025-08-14T21:32:02.8863921Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.8864309Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.8864504Z 
2025-08-14T21:32:02.8864584Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8864831Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8865203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8865536Z     return mod(*inputs)
2025-08-14T21:32:02.8865823Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8866167Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8866604Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-14T21:32:02.8866915Z     x = self.up5(x, s1)
2025-08-14T21:32:02.8867210Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.8867599Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.8867797Z 
2025-08-14T21:32:02.8867907Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8868271Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8868616Z     return mod(*inputs)
2025-08-14T21:32:02.8868931Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8869292Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8869657Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-14T21:32:02.8869992Z     x = self.up5(x, s1)
2025-08-14T21:32:02.8870299Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.8870765Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.8870978Z 
2025-08-14T21:32:02.8871088Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8871478Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8871803Z     return mod(*inputs)
2025-08-14T21:32:02.8872093Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:32:02.8872439Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:32:02.8872787Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward
2025-08-14T21:32:02.8873119Z     x = F.leaky_relu(self.conv3(x), negative_slope=0.1)
2025-08-14T21:32:02.8873275Z 
2025-08-14T21:32:02.8873378Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8873744Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8874069Z     return mod(*inputs)
2025-08-14T21:32:02.8874365Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 45, in forward
2025-08-14T21:32:02.8874715Z     g_I1_F_t_1 = self.trainFlowBackWarp(I1, F_t_1)
2025-08-14T21:32:02.8875054Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-14T21:32:02.8875372Z     grid = torch.stack((x, y), dim=3)
2025-08-14T21:32:02.8875511Z 
2025-08-14T21:32:02.8875614Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8875979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8876303Z     return mod(*inputs)
2025-08-14T21:32:02.8876592Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 44, in forward
2025-08-14T21:32:02.8876943Z     g_I0_F_t_0 = self.trainFlowBackWarp(I0, F_t_0)
2025-08-14T21:32:02.8877279Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-14T21:32:02.8877596Z     grid = torch.stack((x, y), dim=3)
2025-08-14T21:32:02.8877734Z 
2025-08-14T21:32:02.8877817Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8878035Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8878240Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8878448Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8878682Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8879054Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8879382Z     return mod(*inputs)
2025-08-14T21:32:02.8879689Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 49, in forward
2025-08-14T21:32:02.8880026Z     torch.cat(
2025-08-14T21:32:02.8880129Z 
2025-08-14T21:32:02.8880276Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8880648Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8880984Z     return mod(*inputs)
2025-08-14T21:32:02.8881307Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8881655Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8881997Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-08-14T21:32:02.8882360Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8882522Z 
2025-08-14T21:32:02.8882629Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8883019Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8883370Z     return mod(*inputs)
2025-08-14T21:32:02.8883677Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8884027Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8884439Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-08-14T21:32:02.8884808Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8884972Z 
2025-08-14T21:32:02.8885082Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8885473Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8885830Z     return mod(*inputs)
2025-08-14T21:32:02.8886140Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8886491Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8886834Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-08-14T21:32:02.8887211Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.8887382Z 
2025-08-14T21:32:02.8887495Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8887892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8888251Z     return mod(*inputs)
2025-08-14T21:32:02.8888636Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8888997Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8889360Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-14T21:32:02.8889698Z     s2 = self.down1(s1)
2025-08-14T21:32:02.8890008Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-14T21:32:02.8890349Z     x = F.avg_pool2d(x, 2)
2025-08-14T21:32:02.8890474Z 
2025-08-14T21:32:02.8890595Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8890990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8891343Z     return mod(*inputs)
2025-08-14T21:32:02.8891662Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8892018Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8892358Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-14T21:32:02.8892698Z     s2 = self.down1(s1)
2025-08-14T21:32:02.8893009Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:32:02.8893366Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8893538Z 
2025-08-14T21:32:02.8893650Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8894042Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8894399Z     return mod(*inputs)
2025-08-14T21:32:02.8894707Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8895100Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8895450Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-14T21:32:02.8895779Z     s2 = self.down1(s1)
2025-08-14T21:32:02.8896078Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:32:02.8896435Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8896596Z 
2025-08-14T21:32:02.8896717Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8897097Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8897448Z     return mod(*inputs)
2025-08-14T21:32:02.8897756Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8898104Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8898439Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-14T21:32:02.8898771Z     s2 = self.down1(s1)
2025-08-14T21:32:02.8899118Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:32:02.8899470Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.8899639Z 
2025-08-14T21:32:02.8899748Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8900146Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8900480Z     return mod(*inputs)
2025-08-14T21:32:02.8900767Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8901113Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8901440Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-14T21:32:02.8901747Z     s3 = self.down2(s2)
2025-08-14T21:32:02.8902032Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-14T21:32:02.8902350Z     x = F.avg_pool2d(x, 2)
2025-08-14T21:32:02.8902466Z 
2025-08-14T21:32:02.8902569Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8902937Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8903269Z     return mod(*inputs)
2025-08-14T21:32:02.8903560Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8903886Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8904210Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-14T21:32:02.8904524Z     s3 = self.down2(s2)
2025-08-14T21:32:02.8904802Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:32:02.8905149Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8905308Z 
2025-08-14T21:32:02.8905413Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8905785Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8906114Z     return mod(*inputs)
2025-08-14T21:32:02.8906407Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8906741Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8907058Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-14T21:32:02.8907374Z     s3 = self.down2(s2)
2025-08-14T21:32:02.8907661Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:32:02.8907999Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8908150Z 
2025-08-14T21:32:02.8908256Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8908623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8909002Z     return mod(*inputs)
2025-08-14T21:32:02.8909291Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8909624Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8909945Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-14T21:32:02.8910273Z     s3 = self.down2(s2)
2025-08-14T21:32:02.8910567Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:32:02.8910923Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.8911081Z 
2025-08-14T21:32:02.8911201Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8911583Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8911928Z     return mod(*inputs)
2025-08-14T21:32:02.8912239Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8912595Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8912973Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-14T21:32:02.8913305Z     s4 = self.down3(s3)
2025-08-14T21:32:02.8913609Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-14T21:32:02.8913939Z     x = F.avg_pool2d(x, 2)
2025-08-14T21:32:02.8914066Z 
2025-08-14T21:32:02.8914172Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8914563Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8914914Z     return mod(*inputs)
2025-08-14T21:32:02.8915215Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8915563Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8915904Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-14T21:32:02.8916236Z     s4 = self.down3(s3)
2025-08-14T21:32:02.8916540Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:32:02.8916904Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8917064Z 
2025-08-14T21:32:02.8917183Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8917563Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8917914Z     return mod(*inputs)
2025-08-14T21:32:02.8918222Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8918563Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8918902Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-14T21:32:02.8919235Z     s4 = self.down3(s3)
2025-08-14T21:32:02.8919540Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:32:02.8919895Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8920063Z 
2025-08-14T21:32:02.8920178Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8920564Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8920906Z     return mod(*inputs)
2025-08-14T21:32:02.8921215Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8921562Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8921900Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-14T21:32:02.8922226Z     s4 = self.down3(s3)
2025-08-14T21:32:02.8922527Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:32:02.8922883Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.8923041Z 
2025-08-14T21:32:02.8923195Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8923586Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8923937Z     return mod(*inputs)
2025-08-14T21:32:02.8924244Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8924584Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8924922Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-14T21:32:02.8925251Z     s5 = self.down4(s4)
2025-08-14T21:32:02.8925544Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-14T21:32:02.8925875Z     x = F.avg_pool2d(x, 2)
2025-08-14T21:32:02.8925990Z 
2025-08-14T21:32:02.8926107Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8926493Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8926878Z     return mod(*inputs)
2025-08-14T21:32:02.8927209Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8927626Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8927968Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-14T21:32:02.8928495Z     s5 = self.down4(s4)
2025-08-14T21:32:02.8928836Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:32:02.8929211Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8929387Z 
2025-08-14T21:32:02.8929499Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8929903Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8930257Z     return mod(*inputs)
2025-08-14T21:32:02.8930559Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8930920Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8931265Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-14T21:32:02.8931594Z     s5 = self.down4(s4)
2025-08-14T21:32:02.8931902Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:32:02.8932264Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8932423Z 
2025-08-14T21:32:02.8932540Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8932921Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8933276Z     return mod(*inputs)
2025-08-14T21:32:02.8933590Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8933947Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8934271Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-14T21:32:02.8934594Z     s5 = self.down4(s4)
2025-08-14T21:32:02.8934883Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:32:02.8935223Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.8935382Z 
2025-08-14T21:32:02.8935486Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8935853Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8936189Z     return mod(*inputs)
2025-08-14T21:32:02.8936481Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8936817Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8937144Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-14T21:32:02.8937462Z     x = self.down5(s5)
2025-08-14T21:32:02.8937768Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-14T21:32:02.8938182Z     x = F.avg_pool2d(x, 2)
2025-08-14T21:32:02.8938305Z 
2025-08-14T21:32:02.8938412Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8938799Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8939148Z     return mod(*inputs)
2025-08-14T21:32:02.8939457Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8939797Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8940135Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-14T21:32:02.8940468Z     x = self.down5(s5)
2025-08-14T21:32:02.8940764Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:32:02.8941124Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8941294Z 
2025-08-14T21:32:02.8941401Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8941790Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8942186Z     return mod(*inputs)
2025-08-14T21:32:02.8942494Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8942845Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8943181Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-14T21:32:02.8943496Z     x = self.down5(s5)
2025-08-14T21:32:02.8943786Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:32:02.8944127Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8944283Z 
2025-08-14T21:32:02.8944390Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8944761Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8945099Z     return mod(*inputs)
2025-08-14T21:32:02.8945387Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8945723Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8946047Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-14T21:32:02.8946359Z     x = self.down5(s5)
2025-08-14T21:32:02.8946638Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:32:02.8946980Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.8947129Z 
2025-08-14T21:32:02.8947241Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8947599Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8947929Z     return mod(*inputs)
2025-08-14T21:32:02.8948221Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8948555Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8948873Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-14T21:32:02.8949191Z     x = self.up1(x, s5)
2025-08-14T21:32:02.8949476Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:32:02.8949810Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8949970Z 
2025-08-14T21:32:02.8950072Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8950436Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8950767Z     return mod(*inputs)
2025-08-14T21:32:02.8951052Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8951388Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8951710Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-14T21:32:02.8952063Z     x = self.up1(x, s5)
2025-08-14T21:32:02.8952353Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:32:02.8952690Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8952838Z 
2025-08-14T21:32:02.8952947Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8953302Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8953627Z     return mod(*inputs)
2025-08-14T21:32:02.8953918Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8954239Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8954550Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-14T21:32:02.8954857Z     s5 = self.down4(s4)
2025-08-14T21:32:02.8955136Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:32:02.8955472Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.8955668Z 
2025-08-14T21:32:02.8955771Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8956140Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8956461Z     return mod(*inputs)
2025-08-14T21:32:02.8956754Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8957082Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8957401Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-14T21:32:02.8957709Z     x = self.up1(x, s5)
2025-08-14T21:32:02.8957991Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.8958384Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.8958584Z 
2025-08-14T21:32:02.8958670Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8958914Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8959286Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8959617Z     return mod(*inputs)
2025-08-14T21:32:02.8959905Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8960240Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8960561Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-14T21:32:02.8960867Z     x = self.up1(x, s5)
2025-08-14T21:32:02.8961153Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.8961538Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.8961733Z 
2025-08-14T21:32:02.8961843Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8962443Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8962825Z     return mod(*inputs)
2025-08-14T21:32:02.8963138Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8963489Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8963830Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-14T21:32:02.8964166Z     x = self.up2(x, s4)
2025-08-14T21:32:02.8964469Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:32:02.8964827Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8964997Z 
2025-08-14T21:32:02.8965107Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8965494Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8965837Z     return mod(*inputs)
2025-08-14T21:32:02.8966241Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8966597Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8966938Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-14T21:32:02.8967261Z     x = self.up2(x, s4)
2025-08-14T21:32:02.8967565Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:32:02.8967923Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8968085Z 
2025-08-14T21:32:02.8968194Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8968644Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8968994Z     return mod(*inputs)
2025-08-14T21:32:02.8969334Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8969684Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8970024Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-14T21:32:02.8970476Z     s4 = self.down3(s3)
2025-08-14T21:32:02.8970770Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:32:02.8971132Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.8971289Z 
2025-08-14T21:32:02.8971407Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8971794Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8972141Z     return mod(*inputs)
2025-08-14T21:32:02.8972454Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8972812Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8973145Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-14T21:32:02.8973483Z     x = self.up2(x, s4)
2025-08-14T21:32:02.8973791Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.8974203Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.8974412Z 
2025-08-14T21:32:02.8974498Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8974756Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8975142Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8975487Z     return mod(*inputs)
2025-08-14T21:32:02.8975802Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8976157Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8976499Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-14T21:32:02.8976826Z     x = self.up2(x, s4)
2025-08-14T21:32:02.8977131Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.8977539Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.8977747Z 
2025-08-14T21:32:02.8977856Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8978242Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8978592Z     return mod(*inputs)
2025-08-14T21:32:02.8978935Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8979280Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8979625Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-14T21:32:02.8979956Z     x = self.up3(x, s3)
2025-08-14T21:32:02.8980261Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:32:02.8980643Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8980798Z 
2025-08-14T21:32:02.8980912Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8981281Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8981603Z     return mod(*inputs)
2025-08-14T21:32:02.8981893Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8982225Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8982538Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-14T21:32:02.8982856Z     x = self.up3(x, s3)
2025-08-14T21:32:02.8983145Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:32:02.8983480Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8983642Z 
2025-08-14T21:32:02.8983743Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8984113Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8984479Z     return mod(*inputs)
2025-08-14T21:32:02.8984759Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8985092Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8985429Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-14T21:32:02.8985754Z     s3 = self.down2(s2)
2025-08-14T21:32:02.8986038Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:32:02.8986378Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.8986528Z 
2025-08-14T21:32:02.8986636Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8986989Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8987316Z     return mod(*inputs)
2025-08-14T21:32:02.8987607Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8987938Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8988249Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-14T21:32:02.8988561Z     x = self.up3(x, s3)
2025-08-14T21:32:02.8988847Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.8989223Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.8989427Z 
2025-08-14T21:32:02.8989508Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.8989754Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8990116Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8990439Z     return mod(*inputs)
2025-08-14T21:32:02.8990739Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8991072Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8991386Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-14T21:32:02.8991697Z     x = self.up3(x, s3)
2025-08-14T21:32:02.8991983Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.8992356Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.8992560Z 
2025-08-14T21:32:02.8992661Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8993023Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8993352Z     return mod(*inputs)
2025-08-14T21:32:02.8993635Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8993965Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8994332Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-14T21:32:02.8994644Z     x = self.up4(x, s2)
2025-08-14T21:32:02.8994930Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:32:02.8995267Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8995420Z 
2025-08-14T21:32:02.8995528Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8995887Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8996219Z     return mod(*inputs)
2025-08-14T21:32:02.8996509Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8996831Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.8997157Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-14T21:32:02.8997458Z     x = self.up4(x, s2)
2025-08-14T21:32:02.8997740Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:32:02.8998116Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.8998276Z 
2025-08-14T21:32:02.8998380Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.8998746Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.8999073Z     return mod(*inputs)
2025-08-14T21:32:02.8999365Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.8999698Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.9000015Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-14T21:32:02.9000325Z     s2 = self.down1(s1)
2025-08-14T21:32:02.9000605Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:32:02.9000943Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.9001093Z 
2025-08-14T21:32:02.9001197Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9001566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9001901Z     return mod(*inputs)
2025-08-14T21:32:02.9002194Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.9002522Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.9002841Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-14T21:32:02.9003157Z     x = self.up4(x, s2)
2025-08-14T21:32:02.9003434Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.9003820Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.9004023Z 
2025-08-14T21:32:02.9004105Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.9004351Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9004713Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9005044Z     return mod(*inputs)
2025-08-14T21:32:02.9005339Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.9005663Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.9005982Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-14T21:32:02.9006299Z     x = self.up4(x, s2)
2025-08-14T21:32:02.9006586Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.9006960Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.9007162Z 
2025-08-14T21:32:02.9007266Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9007679Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9008010Z     return mod(*inputs)
2025-08-14T21:32:02.9008425Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.9008802Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.9009163Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-14T21:32:02.9009508Z     x = self.up5(x, s1)
2025-08-14T21:32:02.9009801Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:32:02.9010133Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.9010282Z 
2025-08-14T21:32:02.9010384Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9010744Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9011072Z     return mod(*inputs)
2025-08-14T21:32:02.9011360Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.9011718Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.9012023Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-14T21:32:02.9012327Z     x = self.up5(x, s1)
2025-08-14T21:32:02.9012594Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:32:02.9012920Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:32:02.9013074Z 
2025-08-14T21:32:02.9013174Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9013524Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9013839Z     return mod(*inputs)
2025-08-14T21:32:02.9014131Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.9014459Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.9014770Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-08-14T21:32:02.9015118Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:32:02.9015279Z 
2025-08-14T21:32:02.9015382Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9015747Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9016107Z     return mod(*inputs)
2025-08-14T21:32:02.9016399Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.9016727Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.9017030Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-14T21:32:02.9017342Z     x = self.up5(x, s1)
2025-08-14T21:32:02.9017619Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.9018001Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.9018198Z 
2025-08-14T21:32:02.9018282Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.9018523Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9018883Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9019203Z     return mod(*inputs)
2025-08-14T21:32:02.9019494Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.9019826Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.9020140Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-14T21:32:02.9020441Z     x = self.up5(x, s1)
2025-08-14T21:32:02.9020764Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.9021156Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.9021351Z 
2025-08-14T21:32:02.9021499Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9021876Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9022208Z     return mod(*inputs)
2025-08-14T21:32:02.9022500Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.9022827Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.9023154Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-14T21:32:02.9023469Z     x = self.up5(x, s1)
2025-08-14T21:32:02.9023744Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:32:02.9024141Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:32:02.9024342Z 
2025-08-14T21:32:02.9024447Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9024818Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9025143Z     return mod(*inputs)
2025-08-14T21:32:02.9025476Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:32:02.9025808Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:32:02.9026119Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward
2025-08-14T21:32:02.9026460Z     x = F.leaky_relu(self.conv3(x), negative_slope=0.1)
2025-08-14T21:32:02.9026618Z 
2025-08-14T21:32:02.9026718Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9027082Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9027409Z     return mod(*inputs)
2025-08-14T21:32:02.9027700Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 57, in forward
2025-08-14T21:32:02.9028043Z     V_t_0 = F.sigmoid(intrpOut[:, 4:5, :, :])
2025-08-14T21:32:02.9028182Z 
2025-08-14T21:32:02.9028292Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9028654Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9028988Z     return mod(*inputs)
2025-08-14T21:32:02.9029281Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 61, in forward
2025-08-14T21:32:02.9029624Z     g_I0_F_t_0_f = self.trainFlowBackWarp(I0, F_t_0_f)
2025-08-14T21:32:02.9029973Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-14T21:32:02.9030287Z     grid = torch.stack((x, y), dim=3)
2025-08-14T21:32:02.9030410Z 
2025-08-14T21:32:02.9030514Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9030862Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9031183Z     return mod(*inputs)
2025-08-14T21:32:02.9031468Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 62, in forward
2025-08-14T21:32:02.9031800Z     g_I1_F_t_1_f = self.trainFlowBackWarp(I1, F_t_1_f)
2025-08-14T21:32:02.9032134Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-14T21:32:02.9032448Z     grid = torch.stack((x, y), dim=3)
2025-08-14T21:32:02.9032573Z 
2025-08-14T21:32:02.9032677Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9033026Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9033347Z     return mod(*inputs)
2025-08-14T21:32:02.9033636Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 79, in forward
2025-08-14T21:32:02.9033972Z     + L1_lossFn(self.trainFlowBackWarp(I0, F_1_0), I1)
2025-08-14T21:32:02.9034317Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-14T21:32:02.9034645Z     grid = torch.stack((x, y), dim=3)
2025-08-14T21:32:02.9034772Z 
2025-08-14T21:32:02.9034927Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9035289Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9035621Z     return mod(*inputs)
2025-08-14T21:32:02.9035906Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9036296Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9036510Z 
2025-08-14T21:32:02.9036612Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9036967Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9037285Z     return mod(*inputs)
2025-08-14T21:32:02.9037564Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9037953Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9038152Z 
2025-08-14T21:32:02.9038261Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9038653Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9038977Z     return mod(*inputs)
2025-08-14T21:32:02.9039262Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9039645Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9039841Z 
2025-08-14T21:32:02.9039942Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9040297Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9040619Z     return mod(*inputs)
2025-08-14T21:32:02.9040898Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9041285Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9041492Z 
2025-08-14T21:32:02.9041594Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9041953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9042268Z     return mod(*inputs)
2025-08-14T21:32:02.9042559Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9042948Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9043148Z 
2025-08-14T21:32:02.9043255Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9043605Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9043929Z     return mod(*inputs)
2025-08-14T21:32:02.9044223Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9044612Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9044624Z 
2025-08-14T21:32:02.9044729Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9044933Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9045006Z     return mod(*inputs)
2025-08-14T21:32:02.9045194Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9045335Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9045341Z 
2025-08-14T21:32:02.9045450Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9045654Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9045724Z     return mod(*inputs)
2025-08-14T21:32:02.9045913Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9046095Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9046102Z 
2025-08-14T21:32:02.9046211Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9046411Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9046476Z     return mod(*inputs)
2025-08-14T21:32:02.9046672Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9046810Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9046814Z 
2025-08-14T21:32:02.9046920Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9047118Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9047182Z     return mod(*inputs)
2025-08-14T21:32:02.9047375Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9047517Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9047554Z 
2025-08-14T21:32:02.9047663Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9047864Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9047927Z     return mod(*inputs)
2025-08-14T21:32:02.9048146Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9048378Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9048385Z 
2025-08-14T21:32:02.9048499Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9048720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9048788Z     return mod(*inputs)
2025-08-14T21:32:02.9048996Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9049151Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9049157Z 
2025-08-14T21:32:02.9049263Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9049483Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9049553Z     return mod(*inputs)
2025-08-14T21:32:02.9049763Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9049913Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9049917Z 
2025-08-14T21:32:02.9050023Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9050242Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9050309Z     return mod(*inputs)
2025-08-14T21:32:02.9050497Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9050649Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9050655Z 
2025-08-14T21:32:02.9050756Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9050967Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9051032Z     return mod(*inputs)
2025-08-14T21:32:02.9051219Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9051368Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9051371Z 
2025-08-14T21:32:02.9051472Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9051679Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9051745Z     return mod(*inputs)
2025-08-14T21:32:02.9051993Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9052143Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9052149Z 
2025-08-14T21:32:02.9052249Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9052448Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9052520Z     return mod(*inputs)
2025-08-14T21:32:02.9052709Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9052857Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9052860Z 
2025-08-14T21:32:02.9052961Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9053160Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9053233Z     return mod(*inputs)
2025-08-14T21:32:02.9053422Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9053603Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9053614Z 
2025-08-14T21:32:02.9053715Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9053911Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9053980Z     return mod(*inputs)
2025-08-14T21:32:02.9054165Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9054305Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9054308Z 
2025-08-14T21:32:02.9054420Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9054617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9054691Z     return mod(*inputs)
2025-08-14T21:32:02.9054878Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9055022Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9055025Z 
2025-08-14T21:32:02.9055133Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9055336Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9055409Z     return mod(*inputs)
2025-08-14T21:32:02.9055595Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9055735Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9055739Z 
2025-08-14T21:32:02.9055847Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9056041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9056104Z     return mod(*inputs)
2025-08-14T21:32:02.9056298Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9056440Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9056443Z 
2025-08-14T21:32:02.9056549Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9056748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9056813Z     return mod(*inputs)
2025-08-14T21:32:02.9057003Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9057140Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9057144Z 
2025-08-14T21:32:02.9057250Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9057449Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9057513Z     return mod(*inputs)
2025-08-14T21:32:02.9057743Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9057887Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9057891Z 
2025-08-14T21:32:02.9057992Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9058196Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9058260Z     return mod(*inputs)
2025-08-14T21:32:02.9058453Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9058592Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9058595Z 
2025-08-14T21:32:02.9058695Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9058899Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9058965Z     return mod(*inputs)
2025-08-14T21:32:02.9059150Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9059338Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9059341Z 
2025-08-14T21:32:02.9059422Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.9059512Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.9059613Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9059808Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9059879Z     return mod(*inputs)
2025-08-14T21:32:02.9060067Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 80, in forward
2025-08-14T21:32:02.9060166Z     + L1_lossFn(self.trainFlowBackWarp(I1, F_0_1), I0)
2025-08-14T21:32:02.9060356Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-14T21:32:02.9060432Z     grid = torch.stack((x, y), dim=3)
2025-08-14T21:32:02.9060437Z 
2025-08-14T21:32:02.9060522Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.9060622Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9060822Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9060895Z     return mod(*inputs)
2025-08-14T21:32:02.9061081Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9061228Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9061232Z 
2025-08-14T21:32:02.9061330Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9061529Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9061600Z     return mod(*inputs)
2025-08-14T21:32:02.9061788Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9061932Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9061944Z 
2025-08-14T21:32:02.9062246Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9062460Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9062537Z     return mod(*inputs)
2025-08-14T21:32:02.9062734Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9062883Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9062887Z 
2025-08-14T21:32:02.9063001Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9063213Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9063289Z     return mod(*inputs)
2025-08-14T21:32:02.9063579Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9063735Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9063739Z 
2025-08-14T21:32:02.9063853Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9064059Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9064128Z     return mod(*inputs)
2025-08-14T21:32:02.9064336Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9064476Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9064479Z 
2025-08-14T21:32:02.9064586Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9064784Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9064852Z     return mod(*inputs)
2025-08-14T21:32:02.9065060Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9065277Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9065280Z 
2025-08-14T21:32:02.9065393Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9065601Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9065670Z     return mod(*inputs)
2025-08-14T21:32:02.9065876Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9066024Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9066028Z 
2025-08-14T21:32:02.9066133Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9066348Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9066415Z     return mod(*inputs)
2025-08-14T21:32:02.9066617Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9066767Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9066770Z 
2025-08-14T21:32:02.9066876Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9067090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9067157Z     return mod(*inputs)
2025-08-14T21:32:02.9067359Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9067505Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9067508Z 
2025-08-14T21:32:02.9067613Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9067828Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9067899Z     return mod(*inputs)
2025-08-14T21:32:02.9068094Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9068253Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9068256Z 
2025-08-14T21:32:02.9068362Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9068578Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9068646Z     return mod(*inputs)
2025-08-14T21:32:02.9068840Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9068996Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9068999Z 
2025-08-14T21:32:02.9069103Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9069319Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9069426Z     return mod(*inputs)
2025-08-14T21:32:02.9069627Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:32:02.9069784Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:32:02.9069787Z 
2025-08-14T21:32:02.9069873Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.9069959Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.9070050Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.9070131Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.9070219Z cudagraph partition due to non gpu ops
2025-08-14T21:32:02.9070325Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:02.9070536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:02.9070611Z     return mod(*inputs)
2025-08-14T21:32:02.9070808Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 94, in forward
2025-08-14T21:32:02.9070947Z     loss = 204 * recnLoss + 102 * warpLoss + 0.005 * prcpLoss + loss_smooth
2025-08-14T21:32:02.9070986Z 
2025-08-14T21:32:29.3258993Z Compilation time (from dynamo_timed): 52.659987146
2025-08-14T21:32:29.3259338Z pass
2025-08-14T21:32:29.3259651Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:32:29.3260510Z TIMING: _recursive_pre_grad_passes:0.00893 _recursive_joint_graph_passes:0.33382 _recursive_post_grad_passes:0.23338 async_compile.wait:0.93822 code_gen:24.64556 inductor_compile:30.90748 backend_compile:44.50941 gc:0.00018 entire_frame_compile:52.65999 total_wall_time:52.65999
2025-08-14T21:32:29.3261657Z STATS: call_* op count: 374 | FakeTensorMode.__torch_dispatch__:18104 | attempt fast:353 | fast is_contiguous:290 | FakeTensor.__torch_dispatch__:10367 | slow no contiguity match:63 | ProxyTorchDispatchMode.__torch_dispatch__:6008
2025-08-14T21:32:29.3262609Z Dynamo produced 1 graphs covering 374 ops with 0 graph breaks (0 unique)
2025-08-14T21:32:35.8367020Z 
2025-08-14T21:32:36.2576850Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/alexnet-owt-7be5be79.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/alexnet-owt-7be5be79.pth
2025-08-14T21:32:36.2733167Z 
2025-08-14T21:32:36.2734065Z 
2025-08-14T21:32:36.3736046Z   0% 0.00/233M [00:00<?, ?B/s]
2025-08-14T21:32:36.3736279Z 
2025-08-14T21:32:36.5049451Z  15% 35.9M/233M [00:00<00:00, 376MB/s]
2025-08-14T21:32:36.5049850Z 
2025-08-14T21:32:36.6053472Z  31% 71.8M/233M [00:00<00:00, 318MB/s]
2025-08-14T21:32:36.6053726Z 
2025-08-14T21:32:36.7228456Z  46% 107M/233M [00:00<00:00, 337MB/s] 
2025-08-14T21:32:36.7228690Z 
2025-08-14T21:32:36.8488244Z  60% 140M/233M [00:00<00:00, 319MB/s]
2025-08-14T21:32:36.8488464Z 
2025-08-14T21:32:36.9689186Z  73% 170M/233M [00:00<00:00, 295MB/s]
2025-08-14T21:32:36.9689418Z 
2025-08-14T21:32:37.0692662Z  85% 199M/233M [00:00<00:00, 280MB/s]
2025-08-14T21:32:37.0694219Z 
2025-08-14T21:32:37.0839542Z  99% 230M/233M [00:00<00:00, 292MB/s]
2025-08-14T21:32:37.0843756Z 100% 233M/233M [00:00<00:00, 302MB/s]
2025-08-14T21:32:37.3942453Z 
2025-08-14T21:32:37.3943023Z loading model: 0it [00:01, ?it/s]
2025-08-14T21:32:37.3943793Z cpu  eval  alexnet                            
2025-08-14T21:32:37.5459813Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:32:37.5845933Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:32:37.6231939Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:32:41.5362553Z cudagraph partition due to non gpu ops
2025-08-14T21:32:41.5362905Z cudagraph partition due to non gpu ops
2025-08-14T21:32:41.5363600Z cudagraph partition due to non gpu ops
2025-08-14T21:32:41.5363903Z cudagraph partition due to non gpu ops
2025-08-14T21:32:41.5364141Z cudagraph partition due to non gpu ops
2025-08-14T21:32:41.5364891Z cudagraph partition due to non gpu ops
2025-08-14T21:32:41.5365183Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:41.5365760Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:41.5366150Z     return mod(*inputs)
2025-08-14T21:32:41.5366542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:32:41.5366954Z     x = self.features(x)
2025-08-14T21:32:41.5367091Z 
2025-08-14T21:32:41.5367213Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:41.5367637Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:41.5368006Z     return mod(*inputs)
2025-08-14T21:32:41.5368383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:32:41.5368779Z     x = self.features(x)
2025-08-14T21:32:41.5368901Z 
2025-08-14T21:32:41.5369014Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:41.5369550Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:41.5369920Z     return mod(*inputs)
2025-08-14T21:32:41.5370291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:32:41.5370682Z     x = self.features(x)
2025-08-14T21:32:41.5370809Z 
2025-08-14T21:32:41.5370925Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:41.5371385Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:41.5371763Z     return mod(*inputs)
2025-08-14T21:32:41.5372134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:32:41.5372529Z     x = self.features(x)
2025-08-14T21:32:41.5372653Z 
2025-08-14T21:32:41.5372769Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:41.5373186Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:41.5373552Z     return mod(*inputs)
2025-08-14T21:32:41.5373916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:32:41.5374312Z     x = self.features(x)
2025-08-14T21:32:41.5374427Z 
2025-08-14T21:32:41.5374547Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:41.5374958Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:41.5375328Z     return mod(*inputs)
2025-08-14T21:32:41.5375693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:32:41.5376081Z     x = self.features(x)
2025-08-14T21:32:41.5376200Z 
2025-08-14T21:32:41.5376316Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:41.5376766Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:41.5377142Z     return mod(*inputs)
2025-08-14T21:32:41.5377666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:32:41.5378088Z     x = self.features(x)
2025-08-14T21:32:41.5378205Z 
2025-08-14T21:32:41.5378325Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:41.5378727Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:41.5379083Z     return mod(*inputs)
2025-08-14T21:32:41.5379440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:32:41.5379816Z     x = self.features(x)
2025-08-14T21:32:41.5379926Z 
2025-08-14T21:32:41.5380036Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:41.5380480Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:41.5380859Z     return mod(*inputs)
2025-08-14T21:32:41.5381212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:32:41.5381602Z     x = self.features(x)
2025-08-14T21:32:41.5381714Z 
2025-08-14T21:32:41.5381831Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:41.5382225Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:41.5382570Z     return mod(*inputs)
2025-08-14T21:32:41.5382921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:32:41.5383298Z     x = self.features(x)
2025-08-14T21:32:41.5383409Z 
2025-08-14T21:32:41.5383518Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:41.5383912Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:41.5384266Z     return mod(*inputs)
2025-08-14T21:32:41.5384658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 49, in forward
2025-08-14T21:32:41.5385026Z     x = self.avgpool(x)
2025-08-14T21:32:41.5385144Z 
2025-08-14T21:32:41.5385251Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:41.5385644Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:41.5385995Z     return mod(*inputs)
2025-08-14T21:32:41.5386433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-08-14T21:32:41.5386829Z     x = self.classifier(x)
2025-08-14T21:32:41.5386953Z 
2025-08-14T21:32:41.5387075Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:41.5387476Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:41.5387844Z     return mod(*inputs)
2025-08-14T21:32:41.5388220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-08-14T21:32:41.5388622Z     x = self.classifier(x)
2025-08-14T21:32:41.5388753Z 
2025-08-14T21:32:41.5388867Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:41.5389267Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:41.5389683Z     return mod(*inputs)
2025-08-14T21:32:41.5390033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-08-14T21:32:41.5390479Z     x = self.classifier(x)
2025-08-14T21:32:41.5390603Z 
2025-08-14T21:32:41.5390721Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:41.5391119Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:41.5391503Z     return mod(*inputs)
2025-08-14T21:32:41.5391872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-08-14T21:32:41.5392279Z     x = self.classifier(x)
2025-08-14T21:32:41.5392401Z 
2025-08-14T21:32:41.5392514Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:41.5392918Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:41.5393287Z     return mod(*inputs)
2025-08-14T21:32:41.5393695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-08-14T21:32:41.5394097Z     x = self.classifier(x)
2025-08-14T21:32:41.5394226Z 
2025-08-14T21:32:50.1880597Z Compilation time (from dynamo_timed): 11.502826208
2025-08-14T21:32:50.1881177Z pass
2025-08-14T21:32:50.1887680Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:32:50.1888898Z TIMING: _recursive_pre_grad_passes:0.00373 _recursive_joint_graph_passes:0.13977 _recursive_post_grad_passes:0.02295 async_compile.wait:0.72774 code_gen:8.54851 inductor_compile:8.85948 backend_compile:11.00701 gc:0.00102 entire_frame_compile:11.50283 total_wall_time:11.50283
2025-08-14T21:32:50.1890045Z STATS: call_* op count: 22 | FakeTensorMode.__torch_dispatch__:1467 | FakeTensor.__torch_dispatch__:186 | attempt fast:41 | fast is_contiguous:41 | ProxyTorchDispatchMode.__torch_dispatch__:243
2025-08-14T21:32:50.1890687Z Dynamo produced 1 graphs covering 22 ops with 0 graph breaks (0 unique)
2025-08-14T21:32:54.3819132Z 
2025-08-14T21:32:56.1652405Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:32:56.1652834Z loading model: 0it [00:01, ?it/s]
2025-08-14T21:32:56.1658288Z cpu  eval  basic_gnn_edgecnn                  
2025-08-14T21:32:56.6918856Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:32:56.9624146Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:32:57.2286958Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:32:58.5917259Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:58.5917780Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:58.5918227Z     return mod(*inputs)
2025-08-14T21:32:58.5918667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:32:58.5919120Z     x = self.convs[i](x, edge_index)
2025-08-14T21:32:58.5919414Z   File "/tmp/jenkins_pyg/tmpcn7f50v6.py", line 233, in forward
2025-08-14T21:32:58.5919748Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:32:58.5920061Z   File "/tmp/jenkins_pyg/tmpcn7f50v6.py", line 192, in propagate
2025-08-14T21:32:58.5920469Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-14T21:32:58.5921064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:32:58.5921586Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:32:58.5922081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:32:58.5922550Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:32:58.5923001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-08-14T21:32:58.5923450Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-08-14T21:32:58.5923926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:32:58.5924351Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:32:58.5924777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-08-14T21:32:58.5925193Z     return src.new_zeros(size).scatter_reduce_(
2025-08-14T21:32:58.5925474Z 
2025-08-14T21:32:58.5925603Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:58.5926026Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:58.5926399Z     return mod(*inputs)
2025-08-14T21:32:58.5926798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:32:58.5927225Z     x = self.convs[i](x, edge_index)
2025-08-14T21:32:58.5927502Z   File "/tmp/jenkins_pyg/tmp1lfm41b9.py", line 233, in forward
2025-08-14T21:32:58.5927803Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:32:58.5928112Z   File "/tmp/jenkins_pyg/tmp1lfm41b9.py", line 192, in propagate
2025-08-14T21:32:58.5928645Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-14T21:32:58.5929565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:32:58.5930076Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:32:58.5930523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:32:58.5930959Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:32:58.5931381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-08-14T21:32:58.5931819Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-08-14T21:32:58.5932251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:32:58.5932656Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:32:58.5933056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-08-14T21:32:58.5933557Z     return src.new_zeros(size).scatter_reduce_(
2025-08-14T21:32:58.5933713Z 
2025-08-14T21:32:58.5933834Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:58.5934223Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:58.5934583Z     return mod(*inputs)
2025-08-14T21:32:58.5934956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:32:58.5935366Z     x = self.convs[i](x, edge_index)
2025-08-14T21:32:58.5935622Z   File "/tmp/jenkins_pyg/tmpjnnwg3jr.py", line 233, in forward
2025-08-14T21:32:58.5935956Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:32:58.5936260Z   File "/tmp/jenkins_pyg/tmpjnnwg3jr.py", line 192, in propagate
2025-08-14T21:32:58.5936632Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-14T21:32:58.5937153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:32:58.5937655Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:32:58.5938114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:32:58.5938556Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:32:58.5939068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-08-14T21:32:58.5939500Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-08-14T21:32:58.5939931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:32:58.5940336Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:32:58.5940741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-08-14T21:32:58.5941141Z     return src.new_zeros(size).scatter_reduce_(
2025-08-14T21:32:58.5941306Z 
2025-08-14T21:32:58.5941418Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:58.5941811Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:58.5942171Z     return mod(*inputs)
2025-08-14T21:32:58.5942546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:32:58.5942961Z     x = self.convs[i](x, edge_index)
2025-08-14T21:32:58.5943230Z   File "/tmp/jenkins_pyg/tmpcn7f50v6.py", line 233, in forward
2025-08-14T21:32:58.5943518Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:32:58.5943818Z   File "/tmp/jenkins_pyg/tmpcn7f50v6.py", line 191, in propagate
2025-08-14T21:32:58.5944120Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-08-14T21:32:58.5944590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:32:58.5945031Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:32:58.5956340Z 
2025-08-14T21:32:58.5956574Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:58.5957055Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:58.5957433Z     return mod(*inputs)
2025-08-14T21:32:58.5957860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:32:58.5958302Z     x = self.convs[i](x, edge_index)
2025-08-14T21:32:58.5958581Z   File "/tmp/jenkins_pyg/tmpcn7f50v6.py", line 233, in forward
2025-08-14T21:32:58.5958896Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:32:58.5959211Z   File "/tmp/jenkins_pyg/tmpcn7f50v6.py", line 191, in propagate
2025-08-14T21:32:58.5959540Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-08-14T21:32:58.5960086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:32:58.5960534Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:32:58.5960968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-08-14T21:32:58.5961356Z     x = lin(x)
2025-08-14T21:32:58.5961721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:32:58.5962446Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:32:58.5962616Z 
2025-08-14T21:32:58.5962750Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:58.5963164Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:58.5963537Z     return mod(*inputs)
2025-08-14T21:32:58.5963954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:32:58.5964372Z     x = self.convs[i](x, edge_index)
2025-08-14T21:32:58.5964649Z   File "/tmp/jenkins_pyg/tmpcn7f50v6.py", line 233, in forward
2025-08-14T21:32:58.5964952Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:32:58.5965255Z   File "/tmp/jenkins_pyg/tmpcn7f50v6.py", line 191, in propagate
2025-08-14T21:32:58.5965547Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-08-14T21:32:58.5965977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:32:58.5966407Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:32:58.5966821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-14T21:32:58.5967211Z     x = self.act(x)
2025-08-14T21:32:58.5967325Z 
2025-08-14T21:32:58.5967445Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:58.5967856Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:58.5968216Z     return mod(*inputs)
2025-08-14T21:32:58.5969133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:32:58.5970247Z     x = self.convs[i](x, edge_index)
2025-08-14T21:32:58.5970549Z   File "/tmp/jenkins_pyg/tmpcn7f50v6.py", line 233, in forward
2025-08-14T21:32:58.5970876Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:32:58.5971201Z   File "/tmp/jenkins_pyg/tmpcn7f50v6.py", line 191, in propagate
2025-08-14T21:32:58.5971519Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-08-14T21:32:58.5971973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:32:58.5972842Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:32:58.5973301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-14T21:32:58.5973725Z     x = self.lins[-1](x)
2025-08-14T21:32:58.5974109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:32:58.5974538Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:32:58.5974710Z 
2025-08-14T21:32:58.5974815Z cudagraph partition due to non gpu ops
2025-08-14T21:32:58.5975087Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:58.5975512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:58.5975903Z     return mod(*inputs)
2025-08-14T21:32:58.5976284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:32:58.5976714Z     x = self.convs[i](x, edge_index)
2025-08-14T21:32:58.5976989Z   File "/tmp/jenkins_pyg/tmp1lfm41b9.py", line 233, in forward
2025-08-14T21:32:58.5977379Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:32:58.5977688Z   File "/tmp/jenkins_pyg/tmp1lfm41b9.py", line 191, in propagate
2025-08-14T21:32:58.5977989Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-08-14T21:32:58.5978428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:32:58.5978857Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:32:58.5979125Z 
2025-08-14T21:32:58.5979288Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:58.5979854Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:58.5980242Z     return mod(*inputs)
2025-08-14T21:32:58.5980628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:32:58.5981056Z     x = self.convs[i](x, edge_index)
2025-08-14T21:32:58.5981333Z   File "/tmp/jenkins_pyg/tmp1lfm41b9.py", line 233, in forward
2025-08-14T21:32:58.5981628Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:32:58.5981940Z   File "/tmp/jenkins_pyg/tmp1lfm41b9.py", line 191, in propagate
2025-08-14T21:32:58.5982247Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-08-14T21:32:58.5982689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:32:58.5983117Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:32:58.5983547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-08-14T21:32:58.5983944Z     x = lin(x)
2025-08-14T21:32:58.5984330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:32:58.5984764Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:32:58.5984939Z 
2025-08-14T21:32:58.5985057Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:58.5985496Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:58.5985853Z     return mod(*inputs)
2025-08-14T21:32:58.5986235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:32:58.5986650Z     x = self.convs[i](x, edge_index)
2025-08-14T21:32:58.5986915Z   File "/tmp/jenkins_pyg/tmp1lfm41b9.py", line 233, in forward
2025-08-14T21:32:58.5987217Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:32:58.5987524Z   File "/tmp/jenkins_pyg/tmp1lfm41b9.py", line 191, in propagate
2025-08-14T21:32:58.5987822Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-08-14T21:32:58.5988291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:32:58.5988734Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:32:58.5989166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-14T21:32:58.5989554Z     x = self.act(x)
2025-08-14T21:32:58.5989671Z 
2025-08-14T21:32:58.5989784Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:58.5990190Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:58.5990702Z     return mod(*inputs)
2025-08-14T21:32:58.5991091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:32:58.5991513Z     x = self.convs[i](x, edge_index)
2025-08-14T21:32:58.5991786Z   File "/tmp/jenkins_pyg/tmp1lfm41b9.py", line 233, in forward
2025-08-14T21:32:58.5992078Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:32:58.5992393Z   File "/tmp/jenkins_pyg/tmp1lfm41b9.py", line 191, in propagate
2025-08-14T21:32:58.5992741Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-08-14T21:32:58.5993169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:32:58.5993605Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:32:58.5994041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-14T21:32:58.5994436Z     x = self.lins[-1](x)
2025-08-14T21:32:58.5994806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:32:58.5995238Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:32:58.5995410Z 
2025-08-14T21:32:58.5995501Z cudagraph partition due to non gpu ops
2025-08-14T21:32:58.5995771Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:58.5996192Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:58.5996574Z     return mod(*inputs)
2025-08-14T21:32:58.5996973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:32:58.5997387Z     x = self.convs[i](x, edge_index)
2025-08-14T21:32:58.5997658Z   File "/tmp/jenkins_pyg/tmpjnnwg3jr.py", line 233, in forward
2025-08-14T21:32:58.5997956Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:32:58.5998259Z   File "/tmp/jenkins_pyg/tmpjnnwg3jr.py", line 191, in propagate
2025-08-14T21:32:58.5998551Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-08-14T21:32:58.5998993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:32:58.5999427Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:32:58.5999601Z 
2025-08-14T21:32:58.5999723Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:58.6000148Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:58.6000529Z     return mod(*inputs)
2025-08-14T21:32:58.6000910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:32:58.6001337Z     x = self.convs[i](x, edge_index)
2025-08-14T21:32:58.6001606Z   File "/tmp/jenkins_pyg/tmpjnnwg3jr.py", line 233, in forward
2025-08-14T21:32:58.6001908Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:32:58.6002208Z   File "/tmp/jenkins_pyg/tmpjnnwg3jr.py", line 191, in propagate
2025-08-14T21:32:58.6002512Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-08-14T21:32:58.6002946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:32:58.6003381Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:32:58.6003850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-08-14T21:32:58.6004254Z     x = lin(x)
2025-08-14T21:32:58.6004617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:32:58.6005036Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:32:58.6005201Z 
2025-08-14T21:32:58.6005320Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:58.6005725Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:58.6006089Z     return mod(*inputs)
2025-08-14T21:32:58.6006467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:32:58.6006888Z     x = self.convs[i](x, edge_index)
2025-08-14T21:32:58.6007156Z   File "/tmp/jenkins_pyg/tmpjnnwg3jr.py", line 233, in forward
2025-08-14T21:32:58.6007452Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:32:58.6007749Z   File "/tmp/jenkins_pyg/tmpjnnwg3jr.py", line 191, in propagate
2025-08-14T21:32:58.6008112Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-08-14T21:32:58.6008549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:32:58.6008978Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:32:58.6009421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-14T21:32:58.6009820Z     x = self.act(x)
2025-08-14T21:32:58.6009929Z 
2025-08-14T21:32:58.6010051Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:58.6010458Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:58.6010841Z     return mod(*inputs)
2025-08-14T21:32:58.6011233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:32:58.6011656Z     x = self.convs[i](x, edge_index)
2025-08-14T21:32:58.6011933Z   File "/tmp/jenkins_pyg/tmpjnnwg3jr.py", line 233, in forward
2025-08-14T21:32:58.6012238Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:32:58.6012542Z   File "/tmp/jenkins_pyg/tmpjnnwg3jr.py", line 191, in propagate
2025-08-14T21:32:58.6012833Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-08-14T21:32:58.6013263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:32:58.6013696Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:32:58.6014129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-14T21:32:58.6014535Z     x = self.lins[-1](x)
2025-08-14T21:32:58.6014922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:32:58.6015356Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:32:58.6015525Z 
2025-08-14T21:32:58.6015618Z cudagraph partition due to non gpu ops
2025-08-14T21:33:05.3792893Z Compilation time (from dynamo_timed): 7.971231679
2025-08-14T21:33:05.3793221Z pass
2025-08-14T21:33:05.3799414Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:33:05.3804395Z TIMING: _recursive_pre_grad_passes:0.00392 _recursive_joint_graph_passes:0.13744 _recursive_post_grad_passes:0.02325 async_compile.wait:0.58403 code_gen:6.56825 inductor_compile:6.67528 backend_compile:7.57716 gc:0.0009 entire_frame_compile:7.97123 total_wall_time:7.97123
2025-08-14T21:33:05.3805508Z STATS: call_* op count: 55 | FakeTensorMode.__torch_dispatch__:1410 | FakeTensor.__torch_dispatch__:314 | ProxyTorchDispatchMode.__torch_dispatch__:429
2025-08-14T21:33:05.3806082Z Dynamo produced 1 graphs covering 55 ops with 0 graph breaks (0 unique)
2025-08-14T21:33:09.5869696Z 
2025-08-14T21:33:11.3052038Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:33:11.3053801Z loading model: 0it [00:01, ?it/s]
2025-08-14T21:33:11.3054295Z cpu  eval  basic_gnn_gcn                      
2025-08-14T21:33:11.4872596Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:33:11.5915590Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:33:11.6969749Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:33:12.8311759Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:12.8312441Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/loop.py", line 340, in add_remaining_self_loops
2025-08-14T21:33:12.8312961Z     mask = edge_index[0] != edge_index[1]
2025-08-14T21:33:12.8313133Z 
2025-08-14T21:33:12.8313346Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:12.8313884Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/loop.py", line 343, in add_remaining_self_loops
2025-08-14T21:33:12.8314822Z     loop_index = loop_index.unsqueeze(0).repeat(2, 1)
2025-08-14T21:33:12.8315010Z 
2025-08-14T21:33:19.2714875Z cudagraph partition due to non gpu ops
2025-08-14T21:33:19.2715238Z cudagraph partition due to non gpu ops
2025-08-14T21:33:19.2715521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:19.2716124Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/loop.py", line 370, in torch_dynamo_resume_in_add_remaining_self_loops_at_370
2025-08-14T21:33:19.2716696Z     edge_index = torch.cat([edge_index[:, mask], loop_index], dim=1)
2025-08-14T21:33:19.2716908Z 
2025-08-14T21:33:19.9805475Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:19.9806157Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 100, in torch_dynamo_resume_in_gcn_norm_at_91
2025-08-14T21:33:19.9807107Z     deg = scatter(edge_weight, idx, dim=0, dim_size=num_nodes, reduce='sum')
2025-08-14T21:33:19.9807627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-14T21:33:19.9808100Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-14T21:33:19.9808302Z 
2025-08-14T21:33:19.9808427Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:19.9808954Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 95, in torch_dynamo_resume_in_gcn_norm_at_91
2025-08-14T21:33:19.9809511Z     edge_weight = torch.ones((edge_index.size(1), ), dtype=dtype,
2025-08-14T21:33:19.9809726Z 
2025-08-14T21:33:19.9809820Z cudagraph partition due to non gpu ops
2025-08-14T21:33:19.9810093Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:19.9810618Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 103, in torch_dynamo_resume_in_gcn_norm_at_91
2025-08-14T21:33:19.9811161Z     edge_weight = deg_inv_sqrt[row] * edge_weight * deg_inv_sqrt[col]
2025-08-14T21:33:19.9811387Z 
2025-08-14T21:33:21.0857940Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:21.0858444Z    File "/tmp/jenkins_pyg/tmpn4r_3fvb.py", line 240, in torch_dynamo_resume_in_forward_at_221
2025-08-14T21:33:21.0858794Z     x = self.lin(x)
2025-08-14T21:33:21.0859189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:33:21.0859626Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:33:21.0859823Z 
2025-08-14T21:33:21.0859947Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:21.0860320Z    File "/tmp/jenkins_pyg/tmpn4r_3fvb.py", line 243, in torch_dynamo_resume_in_forward_at_221
2025-08-14T21:33:21.0861163Z     out = self.propagate(edge_index, x=x, edge_weight=edge_weight,
2025-08-14T21:33:21.0861518Z   File "/tmp/jenkins_pyg/tmpn4r_3fvb.py", line 188, in propagate
2025-08-14T21:33:21.0861908Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-08-14T21:33:21.0862725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:33:21.0863233Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:33:21.0863680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:33:21.0864124Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:33:21.0864557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-08-14T21:33:21.0865002Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-08-14T21:33:21.0865474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:33:21.0866008Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:33:21.0866430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-14T21:33:21.0866879Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-14T21:33:21.0867067Z 
2025-08-14T21:33:21.0867188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:21.0867579Z    File "/tmp/jenkins_pyg/tmpn4r_3fvb.py", line 243, in torch_dynamo_resume_in_forward_at_221
2025-08-14T21:33:21.0868030Z     out = self.propagate(edge_index, x=x, edge_weight=edge_weight,
2025-08-14T21:33:21.0868346Z   File "/tmp/jenkins_pyg/tmpn4r_3fvb.py", line 187, in propagate
2025-08-14T21:33:21.0868674Z     out = self.message(x_j=kwargs.x_j, edge_weight=kwargs.edge_weight)
2025-08-14T21:33:21.0869128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 241, in message
2025-08-14T21:33:21.0869588Z     return x_j if edge_weight is None else edge_weight.view(-1, 1) * x_j
2025-08-14T21:33:21.0869795Z 
2025-08-14T21:33:21.0869889Z cudagraph partition due to non gpu ops
2025-08-14T21:33:21.0870159Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:21.0870527Z    File "/tmp/jenkins_pyg/tmpn4r_3fvb.py", line 247, in torch_dynamo_resume_in_forward_at_221
2025-08-14T21:33:21.0870885Z     out = out + self.bias
2025-08-14T21:33:21.0871005Z 
2025-08-14T21:33:22.4524498Z Compilation time (from dynamo_timed): 10.602374897
2025-08-14T21:33:22.4524828Z pass
2025-08-14T21:33:22.4526146Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:33:22.4527098Z TIMING: gc:0.00818 entire_frame_compile:10.60237 _recursive_pre_grad_passes:0.00699 _recursive_joint_graph_passes:0.13702 _recursive_post_grad_passes:0.0266 async_compile.wait:2.36691 code_gen:8.37698 inductor_compile:8.5081 backend_compile:9.47662 total_wall_time:10.60237
2025-08-14T21:33:22.4528135Z STATS: call_* op count: 57 | FakeTensorMode.__torch_dispatch__:1076 | FakeTensor.__torch_dispatch__:187 | ProxyTorchDispatchMode.__torch_dispatch__:220
2025-08-14T21:33:22.4528821Z Dynamo produced 6 graphs covering 57 ops with 6 graph breaks (1 unique)
2025-08-14T21:33:26.7195550Z 
2025-08-14T21:33:28.3972227Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:33:28.3972567Z loading model: 0it [00:01, ?it/s]
2025-08-14T21:33:28.3972817Z cpu  eval  basic_gnn_gin                      
2025-08-14T21:33:28.4935877Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:33:28.5453321Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:33:28.5931448Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:33:29.9613428Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:29.9614717Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:29.9615183Z     return mod(*inputs)
2025-08-14T21:33:29.9615624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:29.9616081Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:29.9616358Z   File "/tmp/jenkins_pyg/tmp327vjc7r.py", line 225, in forward
2025-08-14T21:33:29.9616675Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:33:29.9616993Z   File "/tmp/jenkins_pyg/tmp327vjc7r.py", line 182, in propagate
2025-08-14T21:33:29.9617390Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-08-14T21:33:29.9617960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:33:29.9618630Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:33:29.9619604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:33:29.9620088Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:33:29.9620552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-08-14T21:33:29.9621026Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-08-14T21:33:29.9621484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:33:29.9622006Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:33:29.9622436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-14T21:33:29.9622893Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-14T21:33:29.9623104Z 
2025-08-14T21:33:29.9623234Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:29.9623663Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:29.9624046Z     return mod(*inputs)
2025-08-14T21:33:29.9624437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:29.9624868Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:29.9625144Z   File "/tmp/jenkins_pyg/tmp327vjc7r.py", line 225, in forward
2025-08-14T21:33:29.9625438Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:33:29.9625740Z   File "/tmp/jenkins_pyg/tmp327vjc7r.py", line 180, in propagate
2025-08-14T21:33:29.9626057Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-14T21:33:29.9626358Z   File "/tmp/jenkins_pyg/tmp327vjc7r.py", line 127, in _collect
2025-08-14T21:33:29.9626639Z     x_j = self._lift(x_j, edge_def, j)
2025-08-14T21:33:29.9626910Z   File "/tmp/jenkins_pyg/tmp327vjc7r.py", line 87, in _lift
2025-08-14T21:33:29.9627199Z     return src.index_select(self.node_dim, index)
2025-08-14T21:33:29.9627368Z 
2025-08-14T21:33:29.9627485Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:29.9628206Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:29.9628607Z     return mod(*inputs)
2025-08-14T21:33:29.9629002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:29.9629440Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:29.9629720Z   File "/tmp/jenkins_pyg/tmp34s975n2.py", line 225, in forward
2025-08-14T21:33:29.9630033Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:33:29.9630337Z   File "/tmp/jenkins_pyg/tmp34s975n2.py", line 182, in propagate
2025-08-14T21:33:29.9630824Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-08-14T21:33:29.9631396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:33:29.9631906Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:33:29.9632378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:33:29.9632851Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:33:29.9633318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-08-14T21:33:29.9633777Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-08-14T21:33:29.9634231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:33:29.9634670Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:33:29.9635090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-14T21:33:29.9635592Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-14T21:33:29.9635785Z 
2025-08-14T21:33:29.9635902Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:29.9636330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:29.9636695Z     return mod(*inputs)
2025-08-14T21:33:29.9637086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:29.9637520Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:29.9637791Z   File "/tmp/jenkins_pyg/tmpyi3q1lxl.py", line 225, in forward
2025-08-14T21:33:29.9638082Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:33:29.9638386Z   File "/tmp/jenkins_pyg/tmpyi3q1lxl.py", line 182, in propagate
2025-08-14T21:33:29.9638777Z     out = self.aggregate(out, index=kwargs.index, dim_size=kwargs.dim_size, ptr=kwargs.ptr)
2025-08-14T21:33:29.9639332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:33:29.9639835Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:33:29.9640301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:33:29.9640767Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:33:29.9641207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-08-14T21:33:29.9641677Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-08-14T21:33:29.9642130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:33:29.9642565Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:33:29.9642980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-14T21:33:29.9643433Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-14T21:33:29.9643625Z 
2025-08-14T21:33:29.9643727Z cudagraph partition due to non gpu ops
2025-08-14T21:33:29.9643989Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:29.9644408Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:29.9644781Z     return mod(*inputs)
2025-08-14T21:33:29.9645176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:29.9645588Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:29.9645861Z   File "/tmp/jenkins_pyg/tmp327vjc7r.py", line 229, in forward
2025-08-14T21:33:29.9646137Z     out = out + (1 + self.eps) * x_r
2025-08-14T21:33:29.9646276Z 
2025-08-14T21:33:29.9646576Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:29.9647000Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:29.9647382Z     return mod(*inputs)
2025-08-14T21:33:29.9647772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:29.9648203Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:29.9648477Z   File "/tmp/jenkins_pyg/tmp327vjc7r.py", line 231, in forward
2025-08-14T21:33:29.9648745Z     return self.nn(out)
2025-08-14T21:33:29.9649111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-08-14T21:33:29.9649513Z     x = lin(x)
2025-08-14T21:33:29.9649877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:33:29.9650303Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:33:29.9650469Z 
2025-08-14T21:33:29.9650592Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:29.9651079Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:29.9651453Z     return mod(*inputs)
2025-08-14T21:33:29.9651830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:29.9652258Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:29.9652531Z   File "/tmp/jenkins_pyg/tmp327vjc7r.py", line 231, in forward
2025-08-14T21:33:29.9652797Z     return self.nn(out)
2025-08-14T21:33:29.9653152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-14T21:33:29.9653543Z     x = self.act(x)
2025-08-14T21:33:29.9653647Z 
2025-08-14T21:33:29.9653768Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:29.9654177Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:29.9654549Z     return mod(*inputs)
2025-08-14T21:33:29.9654936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:29.9655353Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:29.9655614Z   File "/tmp/jenkins_pyg/tmp327vjc7r.py", line 231, in forward
2025-08-14T21:33:29.9655875Z     return self.nn(out)
2025-08-14T21:33:29.9656246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-14T21:33:29.9656648Z     x = self.lins[-1](x)
2025-08-14T21:33:29.9657074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:33:29.9657506Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:33:29.9657668Z 
2025-08-14T21:33:29.9657790Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:29.9658195Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:29.9658560Z     return mod(*inputs)
2025-08-14T21:33:29.9658936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:29.9659342Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:29.9659633Z   File "/tmp/jenkins_pyg/tmp34s975n2.py", line 225, in forward
2025-08-14T21:33:29.9659931Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:33:29.9660234Z   File "/tmp/jenkins_pyg/tmp34s975n2.py", line 180, in propagate
2025-08-14T21:33:29.9660547Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-14T21:33:29.9660851Z   File "/tmp/jenkins_pyg/tmp34s975n2.py", line 127, in _collect
2025-08-14T21:33:29.9661124Z     x_j = self._lift(x_j, edge_def, j)
2025-08-14T21:33:29.9661388Z   File "/tmp/jenkins_pyg/tmp34s975n2.py", line 87, in _lift
2025-08-14T21:33:29.9661661Z     return src.index_select(self.node_dim, index)
2025-08-14T21:33:29.9661904Z 
2025-08-14T21:33:29.9662170Z cudagraph partition due to non gpu ops
2025-08-14T21:33:29.9662467Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:29.9662875Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:29.9663236Z     return mod(*inputs)
2025-08-14T21:33:29.9663621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:29.9664038Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:29.9664294Z   File "/tmp/jenkins_pyg/tmp34s975n2.py", line 229, in forward
2025-08-14T21:33:29.9664562Z     out = out + (1 + self.eps) * x_r
2025-08-14T21:33:29.9664708Z 
2025-08-14T21:33:29.9664820Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:29.9665218Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:29.9665571Z     return mod(*inputs)
2025-08-14T21:33:29.9665955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:29.9666518Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:29.9666775Z   File "/tmp/jenkins_pyg/tmp34s975n2.py", line 231, in forward
2025-08-14T21:33:29.9667040Z     return self.nn(out)
2025-08-14T21:33:29.9667417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-08-14T21:33:29.9667802Z     x = lin(x)
2025-08-14T21:33:29.9668244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:33:29.9668669Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:33:29.9668834Z 
2025-08-14T21:33:29.9668960Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:29.9669368Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:29.9669750Z     return mod(*inputs)
2025-08-14T21:33:29.9670143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:29.9670571Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:29.9670829Z   File "/tmp/jenkins_pyg/tmp34s975n2.py", line 231, in forward
2025-08-14T21:33:29.9671098Z     return self.nn(out)
2025-08-14T21:33:29.9671469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-14T21:33:29.9671859Z     x = self.act(x)
2025-08-14T21:33:29.9671972Z 
2025-08-14T21:33:29.9672083Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:29.9672495Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:29.9672877Z     return mod(*inputs)
2025-08-14T21:33:29.9673263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:29.9673686Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:29.9673957Z   File "/tmp/jenkins_pyg/tmp34s975n2.py", line 231, in forward
2025-08-14T21:33:29.9674217Z     return self.nn(out)
2025-08-14T21:33:29.9674590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-14T21:33:29.9674993Z     x = self.lins[-1](x)
2025-08-14T21:33:29.9675377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:33:29.9675798Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:33:29.9676971Z 
2025-08-14T21:33:29.9677446Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:29.9678138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:29.9678675Z     return mod(*inputs)
2025-08-14T21:33:29.9679587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:29.9680253Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:29.9680553Z   File "/tmp/jenkins_pyg/tmpyi3q1lxl.py", line 225, in forward
2025-08-14T21:33:29.9680879Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:33:29.9681249Z   File "/tmp/jenkins_pyg/tmpyi3q1lxl.py", line 180, in propagate
2025-08-14T21:33:29.9681643Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-14T21:33:29.9682027Z   File "/tmp/jenkins_pyg/tmpyi3q1lxl.py", line 127, in _collect
2025-08-14T21:33:29.9682349Z     x_j = self._lift(x_j, edge_def, j)
2025-08-14T21:33:29.9682624Z   File "/tmp/jenkins_pyg/tmpyi3q1lxl.py", line 87, in _lift
2025-08-14T21:33:29.9682919Z     return src.index_select(self.node_dim, index)
2025-08-14T21:33:29.9683092Z 
2025-08-14T21:33:29.9683186Z cudagraph partition due to non gpu ops
2025-08-14T21:33:29.9683461Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:29.9683884Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:29.9684354Z     return mod(*inputs)
2025-08-14T21:33:29.9684767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:29.9685222Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:29.9685498Z   File "/tmp/jenkins_pyg/tmpyi3q1lxl.py", line 229, in forward
2025-08-14T21:33:29.9685774Z     out = out + (1 + self.eps) * x_r
2025-08-14T21:33:29.9685924Z 
2025-08-14T21:33:29.9686047Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:29.9686463Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:29.9686837Z     return mod(*inputs)
2025-08-14T21:33:29.9687236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:29.9687667Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:29.9687955Z   File "/tmp/jenkins_pyg/tmpyi3q1lxl.py", line 231, in forward
2025-08-14T21:33:29.9688228Z     return self.nn(out)
2025-08-14T21:33:29.9688603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-08-14T21:33:29.9689002Z     x = lin(x)
2025-08-14T21:33:29.9689359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:33:29.9689793Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:33:29.9689961Z 
2025-08-14T21:33:29.9690088Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:29.9690496Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:29.9690866Z     return mod(*inputs)
2025-08-14T21:33:29.9691254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:29.9691685Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:29.9691949Z   File "/tmp/jenkins_pyg/tmpyi3q1lxl.py", line 231, in forward
2025-08-14T21:33:29.9692233Z     return self.nn(out)
2025-08-14T21:33:29.9692605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-14T21:33:29.9692997Z     x = self.act(x)
2025-08-14T21:33:29.9693111Z 
2025-08-14T21:33:29.9693229Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:29.9693659Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:29.9694045Z     return mod(*inputs)
2025-08-14T21:33:29.9694434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:29.9694867Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:29.9695143Z   File "/tmp/jenkins_pyg/tmpyi3q1lxl.py", line 231, in forward
2025-08-14T21:33:29.9695396Z     return self.nn(out)
2025-08-14T21:33:29.9695856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-14T21:33:29.9696283Z     x = self.lins[-1](x)
2025-08-14T21:33:29.9696667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:33:29.9697097Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:33:29.9697280Z 
2025-08-14T21:33:36.5962740Z Compilation time (from dynamo_timed): 7.911043203
2025-08-14T21:33:36.5963854Z pass
2025-08-14T21:33:36.5967671Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:33:36.5968703Z TIMING: _recursive_pre_grad_passes:0.00402 _recursive_joint_graph_passes:0.13992 _recursive_post_grad_passes:0.02525 async_compile.wait:0.49603 code_gen:6.49064 inductor_compile:6.59887 backend_compile:7.50905 gc:0.00025 entire_frame_compile:7.91104 total_wall_time:7.91104
2025-08-14T21:33:36.5969802Z STATS: call_* op count: 52 | FakeTensorMode.__torch_dispatch__:1327 | FakeTensor.__torch_dispatch__:323 | ProxyTorchDispatchMode.__torch_dispatch__:420
2025-08-14T21:33:36.5970665Z Dynamo produced 1 graphs covering 52 ops with 0 graph breaks (0 unique)
2025-08-14T21:33:40.7645625Z 
2025-08-14T21:33:42.4523663Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:33:42.4524060Z loading model: 0it [00:01, ?it/s]
2025-08-14T21:33:42.4525547Z cpu  eval  basic_gnn_sage                     
2025-08-14T21:33:42.5422524Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:33:42.5899972Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:33:42.6362328Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:33:43.9907916Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:43.9908462Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:43.9908886Z     return mod(*inputs)
2025-08-14T21:33:43.9909375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:43.9909820Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:43.9910115Z   File "/tmp/jenkins_pyg/tmpejnz2q5o.py", line 228, in forward
2025-08-14T21:33:43.9910429Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:33:43.9910734Z   File "/tmp/jenkins_pyg/tmpejnz2q5o.py", line 182, in propagate
2025-08-14T21:33:43.9911151Z     out = self.aggregate(out, dim_size=kwargs.dim_size, ptr=kwargs.ptr, index=kwargs.index)
2025-08-14T21:33:43.9911747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:33:43.9912299Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:33:43.9912771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:33:43.9913244Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:33:43.9913702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-14T21:33:43.9914157Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-14T21:33:43.9914600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:33:43.9915022Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:33:43.9915442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-08-14T21:33:43.9915870Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-14T21:33:43.9916062Z 
2025-08-14T21:33:43.9916184Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:43.9916944Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:43.9917334Z     return mod(*inputs)
2025-08-14T21:33:43.9917728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:43.9918153Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:43.9918433Z   File "/tmp/jenkins_pyg/tmpejnz2q5o.py", line 228, in forward
2025-08-14T21:33:43.9918726Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:33:43.9919032Z   File "/tmp/jenkins_pyg/tmpejnz2q5o.py", line 180, in propagate
2025-08-14T21:33:43.9919351Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-14T21:33:43.9919661Z   File "/tmp/jenkins_pyg/tmpejnz2q5o.py", line 127, in _collect
2025-08-14T21:33:43.9919934Z     x_j = self._lift(x_j, edge_def, j)
2025-08-14T21:33:43.9920200Z   File "/tmp/jenkins_pyg/tmpejnz2q5o.py", line 87, in _lift
2025-08-14T21:33:43.9920485Z     return src.index_select(self.node_dim, index)
2025-08-14T21:33:43.9920751Z 
2025-08-14T21:33:43.9920870Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:43.9921297Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:43.9921676Z     return mod(*inputs)
2025-08-14T21:33:43.9922067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:43.9922501Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:43.9922771Z   File "/tmp/jenkins_pyg/tmpejnz2q5o.py", line 228, in forward
2025-08-14T21:33:43.9923070Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:33:43.9923366Z   File "/tmp/jenkins_pyg/tmpejnz2q5o.py", line 182, in propagate
2025-08-14T21:33:43.9923753Z     out = self.aggregate(out, dim_size=kwargs.dim_size, ptr=kwargs.ptr, index=kwargs.index)
2025-08-14T21:33:43.9924308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:33:43.9924811Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:33:43.9925273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:33:43.9926029Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:33:43.9926477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-14T21:33:43.9926932Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-14T21:33:43.9927389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:33:43.9927809Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:33:43.9928238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-08-14T21:33:43.9928688Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-08-14T21:33:43.9928889Z 
2025-08-14T21:33:43.9929008Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:43.9929413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:43.9929771Z     return mod(*inputs)
2025-08-14T21:33:43.9930154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:43.9930580Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:43.9930848Z   File "/tmp/jenkins_pyg/tmpejnz2q5o.py", line 228, in forward
2025-08-14T21:33:43.9931135Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:33:43.9931432Z   File "/tmp/jenkins_pyg/tmpejnz2q5o.py", line 182, in propagate
2025-08-14T21:33:43.9931807Z     out = self.aggregate(out, dim_size=kwargs.dim_size, ptr=kwargs.ptr, index=kwargs.index)
2025-08-14T21:33:43.9932406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:33:43.9932953Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:33:43.9933406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:33:43.9933855Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:33:43.9934294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-14T21:33:43.9934739Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-14T21:33:43.9935175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:33:43.9935591Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:33:43.9936010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-08-14T21:33:43.9936447Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-08-14T21:33:43.9937607Z 
2025-08-14T21:33:43.9937723Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:43.9938134Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:43.9938515Z     return mod(*inputs)
2025-08-14T21:33:43.9938892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:43.9939310Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:43.9939577Z   File "/tmp/jenkins_pyg/tmp43_cc6ef.py", line 228, in forward
2025-08-14T21:33:43.9939876Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:33:43.9940169Z   File "/tmp/jenkins_pyg/tmp43_cc6ef.py", line 182, in propagate
2025-08-14T21:33:43.9940552Z     out = self.aggregate(out, dim_size=kwargs.dim_size, ptr=kwargs.ptr, index=kwargs.index)
2025-08-14T21:33:43.9941097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:33:43.9941592Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:33:43.9942054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:33:43.9942500Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:33:43.9942942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-14T21:33:43.9943382Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-14T21:33:43.9943821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:33:43.9944236Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:33:43.9944643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-08-14T21:33:43.9945078Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-14T21:33:43.9945266Z 
2025-08-14T21:33:43.9945379Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:43.9945789Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:43.9946149Z     return mod(*inputs)
2025-08-14T21:33:43.9946534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:43.9946955Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:43.9947222Z   File "/tmp/jenkins_pyg/tmp43_cc6ef.py", line 228, in forward
2025-08-14T21:33:43.9947510Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:33:43.9947805Z   File "/tmp/jenkins_pyg/tmp43_cc6ef.py", line 182, in propagate
2025-08-14T21:33:43.9948232Z     out = self.aggregate(out, dim_size=kwargs.dim_size, ptr=kwargs.ptr, index=kwargs.index)
2025-08-14T21:33:43.9948769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:33:43.9949278Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:33:43.9949784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:33:43.9950236Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:33:43.9950671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-14T21:33:43.9951122Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-14T21:33:43.9951563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:33:43.9951978Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:33:43.9952389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-08-14T21:33:43.9952910Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-08-14T21:33:43.9953101Z 
2025-08-14T21:33:43.9953220Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:43.9953617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:43.9953989Z     return mod(*inputs)
2025-08-14T21:33:43.9954374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:43.9954789Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:43.9955046Z   File "/tmp/jenkins_pyg/tmp43_cc6ef.py", line 228, in forward
2025-08-14T21:33:43.9955338Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:33:43.9955637Z   File "/tmp/jenkins_pyg/tmp43_cc6ef.py", line 182, in propagate
2025-08-14T21:33:43.9956009Z     out = self.aggregate(out, dim_size=kwargs.dim_size, ptr=kwargs.ptr, index=kwargs.index)
2025-08-14T21:33:43.9956557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:33:43.9957059Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:33:43.9957519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:33:43.9957960Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:33:43.9958399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-14T21:33:43.9958846Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-14T21:33:43.9959287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:33:43.9959695Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:33:43.9960113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-08-14T21:33:43.9960554Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-08-14T21:33:43.9960744Z 
2025-08-14T21:33:43.9960856Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:43.9961265Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:43.9961634Z     return mod(*inputs)
2025-08-14T21:33:43.9962241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:43.9962667Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:43.9962938Z   File "/tmp/jenkins_pyg/tmp__yu8syl.py", line 228, in forward
2025-08-14T21:33:43.9963231Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:33:43.9963522Z   File "/tmp/jenkins_pyg/tmp__yu8syl.py", line 182, in propagate
2025-08-14T21:33:43.9964002Z     out = self.aggregate(out, dim_size=kwargs.dim_size, ptr=kwargs.ptr, index=kwargs.index)
2025-08-14T21:33:43.9964547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:33:43.9965058Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:33:43.9965674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:33:43.9966137Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:33:43.9966579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-14T21:33:43.9967028Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-14T21:33:43.9967475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:33:43.9967906Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:33:43.9968387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-08-14T21:33:43.9968821Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-14T21:33:43.9969002Z 
2025-08-14T21:33:43.9969127Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:43.9969533Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:43.9969902Z     return mod(*inputs)
2025-08-14T21:33:43.9970286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:43.9970718Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:43.9970982Z   File "/tmp/jenkins_pyg/tmp__yu8syl.py", line 228, in forward
2025-08-14T21:33:43.9971282Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:33:43.9971589Z   File "/tmp/jenkins_pyg/tmp__yu8syl.py", line 182, in propagate
2025-08-14T21:33:43.9971958Z     out = self.aggregate(out, dim_size=kwargs.dim_size, ptr=kwargs.ptr, index=kwargs.index)
2025-08-14T21:33:43.9972510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:33:43.9973009Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:33:43.9973465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:33:43.9973905Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:33:43.9974348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-14T21:33:43.9974798Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-14T21:33:43.9975242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:33:43.9975652Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:33:43.9976070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-08-14T21:33:43.9976513Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-08-14T21:33:43.9976701Z 
2025-08-14T21:33:43.9976816Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:43.9977222Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:43.9977599Z     return mod(*inputs)
2025-08-14T21:33:43.9977985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:43.9978394Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:43.9978661Z   File "/tmp/jenkins_pyg/tmp__yu8syl.py", line 228, in forward
2025-08-14T21:33:43.9978953Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:33:43.9979287Z   File "/tmp/jenkins_pyg/tmp__yu8syl.py", line 182, in propagate
2025-08-14T21:33:43.9979665Z     out = self.aggregate(out, dim_size=kwargs.dim_size, ptr=kwargs.ptr, index=kwargs.index)
2025-08-14T21:33:43.9980197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:33:43.9980690Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:33:43.9981135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:33:43.9981573Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:33:43.9982010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-14T21:33:43.9982452Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-14T21:33:43.9982883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:33:43.9983337Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:33:43.9983751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-08-14T21:33:43.9984183Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-08-14T21:33:43.9984378Z 
2025-08-14T21:33:43.9984470Z cudagraph partition due to non gpu ops
2025-08-14T21:33:43.9984710Z cudagraph partition due to non gpu ops
2025-08-14T21:33:43.9984974Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:43.9985373Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:43.9985742Z     return mod(*inputs)
2025-08-14T21:33:43.9986123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:43.9986527Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:43.9986800Z   File "/tmp/jenkins_pyg/tmpejnz2q5o.py", line 228, in forward
2025-08-14T21:33:43.9987094Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:33:43.9987395Z   File "/tmp/jenkins_pyg/tmpejnz2q5o.py", line 182, in propagate
2025-08-14T21:33:43.9987766Z     out = self.aggregate(out, dim_size=kwargs.dim_size, ptr=kwargs.ptr, index=kwargs.index)
2025-08-14T21:33:43.9988301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:33:43.9988797Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:33:43.9989247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:33:43.9989693Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:33:43.9990129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-14T21:33:43.9990575Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-14T21:33:43.9991011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:33:43.9991422Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:33:43.9991835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-08-14T21:33:43.9992236Z     return out / broadcast(count, out, dim)
2025-08-14T21:33:43.9992388Z 
2025-08-14T21:33:43.9992502Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:43.9992906Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:43.9993272Z     return mod(*inputs)
2025-08-14T21:33:43.9993645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:43.9994105Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:43.9994377Z   File "/tmp/jenkins_pyg/tmpejnz2q5o.py", line 229, in forward
2025-08-14T21:33:43.9994648Z     out = self.lin_l(out)
2025-08-14T21:33:43.9995028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:33:43.9995455Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:33:43.9995617Z 
2025-08-14T21:33:43.9995713Z cudagraph partition due to non gpu ops
2025-08-14T21:33:43.9995970Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:43.9996373Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:43.9996753Z     return mod(*inputs)
2025-08-14T21:33:43.9997133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:43.9997541Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:43.9997814Z   File "/tmp/jenkins_pyg/tmp43_cc6ef.py", line 228, in forward
2025-08-14T21:33:43.9998109Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:33:43.9998441Z   File "/tmp/jenkins_pyg/tmp43_cc6ef.py", line 180, in propagate
2025-08-14T21:33:43.9998754Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-14T21:33:43.9999058Z   File "/tmp/jenkins_pyg/tmp43_cc6ef.py", line 127, in _collect
2025-08-14T21:33:43.9999324Z     x_j = self._lift(x_j, edge_def, j)
2025-08-14T21:33:43.9999579Z   File "/tmp/jenkins_pyg/tmp43_cc6ef.py", line 87, in _lift
2025-08-14T21:33:43.9999860Z     return src.index_select(self.node_dim, index)
2025-08-14T21:33:44.0000022Z 
2025-08-14T21:33:44.0000117Z cudagraph partition due to non gpu ops
2025-08-14T21:33:44.0000346Z cudagraph partition due to non gpu ops
2025-08-14T21:33:44.0000609Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:44.0001007Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:44.0001365Z     return mod(*inputs)
2025-08-14T21:33:44.0001749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:44.0002164Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:44.0002431Z   File "/tmp/jenkins_pyg/tmp43_cc6ef.py", line 228, in forward
2025-08-14T21:33:44.0002713Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:33:44.0003011Z   File "/tmp/jenkins_pyg/tmp43_cc6ef.py", line 182, in propagate
2025-08-14T21:33:44.0003384Z     out = self.aggregate(out, dim_size=kwargs.dim_size, ptr=kwargs.ptr, index=kwargs.index)
2025-08-14T21:33:44.0003910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:33:44.0004406Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:33:44.0004864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:33:44.0005428Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:33:44.0005919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-14T21:33:44.0006370Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-14T21:33:44.0006814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:33:44.0007231Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:33:44.0007638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-08-14T21:33:44.0008044Z     return out / broadcast(count, out, dim)
2025-08-14T21:33:44.0008218Z 
2025-08-14T21:33:44.0008341Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:44.0008737Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:44.0009179Z     return mod(*inputs)
2025-08-14T21:33:44.0009585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:44.0010004Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:44.0010261Z   File "/tmp/jenkins_pyg/tmp43_cc6ef.py", line 229, in forward
2025-08-14T21:33:44.0010529Z     out = self.lin_l(out)
2025-08-14T21:33:44.0010910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:33:44.0011331Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:33:44.0011503Z 
2025-08-14T21:33:44.0011617Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:44.0012022Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:44.0012398Z     return mod(*inputs)
2025-08-14T21:33:44.0012783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward
2025-08-14T21:33:44.0013248Z     x = self.act(x)
2025-08-14T21:33:44.0013353Z 
2025-08-14T21:33:44.0013448Z cudagraph partition due to non gpu ops
2025-08-14T21:33:44.0013707Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:44.0014104Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:44.0014475Z     return mod(*inputs)
2025-08-14T21:33:44.0014855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:44.0015261Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:44.0015529Z   File "/tmp/jenkins_pyg/tmp__yu8syl.py", line 228, in forward
2025-08-14T21:33:44.0015821Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:33:44.0016114Z   File "/tmp/jenkins_pyg/tmp__yu8syl.py", line 180, in propagate
2025-08-14T21:33:44.0016428Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-14T21:33:44.0016736Z   File "/tmp/jenkins_pyg/tmp__yu8syl.py", line 127, in _collect
2025-08-14T21:33:44.0017007Z     x_j = self._lift(x_j, edge_def, j)
2025-08-14T21:33:44.0017261Z   File "/tmp/jenkins_pyg/tmp__yu8syl.py", line 87, in _lift
2025-08-14T21:33:44.0017546Z     return src.index_select(self.node_dim, index)
2025-08-14T21:33:44.0017708Z 
2025-08-14T21:33:44.0017822Z cudagraph partition due to non gpu ops
2025-08-14T21:33:44.0018049Z cudagraph partition due to non gpu ops
2025-08-14T21:33:44.0018311Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:44.0018722Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:44.0019078Z     return mod(*inputs)
2025-08-14T21:33:44.0019460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:44.0019882Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:44.0020149Z   File "/tmp/jenkins_pyg/tmp__yu8syl.py", line 228, in forward
2025-08-14T21:33:44.0020438Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:33:44.0020736Z   File "/tmp/jenkins_pyg/tmp__yu8syl.py", line 182, in propagate
2025-08-14T21:33:44.0021113Z     out = self.aggregate(out, dim_size=kwargs.dim_size, ptr=kwargs.ptr, index=kwargs.index)
2025-08-14T21:33:44.0021651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:33:44.0022151Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:33:44.0022609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:33:44.0023058Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:33:44.0023489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-14T21:33:44.0023980Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-14T21:33:44.0024428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:33:44.0024839Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:33:44.0025241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-08-14T21:33:44.0025649Z     return out / broadcast(count, out, dim)
2025-08-14T21:33:44.0025797Z 
2025-08-14T21:33:44.0025920Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:44.0026322Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:44.0026689Z     return mod(*inputs)
2025-08-14T21:33:44.0027067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:33:44.0027490Z     x = self.convs[i](x, edge_index)
2025-08-14T21:33:44.0027754Z   File "/tmp/jenkins_pyg/tmp__yu8syl.py", line 229, in forward
2025-08-14T21:33:44.0028061Z     out = self.lin_l(out)
2025-08-14T21:33:44.0028440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:33:44.0028859Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:33:44.0029027Z 
2025-08-14T21:33:44.0029141Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:44.0029544Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:44.0029918Z     return mod(*inputs)
2025-08-14T21:33:44.0030298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward
2025-08-14T21:33:44.0030700Z     x = self.act(x)
2025-08-14T21:33:44.0030804Z 
2025-08-14T21:33:44.0030899Z cudagraph partition due to non gpu ops
2025-08-14T21:33:50.7822479Z Compilation time (from dynamo_timed): 8.046296727
2025-08-14T21:33:50.7822848Z pass
2025-08-14T21:33:50.7824745Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:33:50.7825671Z TIMING: _recursive_pre_grad_passes:0.00393 _recursive_joint_graph_passes:0.14179 _recursive_post_grad_passes:0.04128 async_compile.wait:0.52228 code_gen:6.6685 inductor_compile:6.79806 backend_compile:7.71978 gc:0.00102 entire_frame_compile:8.0463 total_wall_time:8.0463
2025-08-14T21:33:50.7826690Z STATS: call_* op count: 58 | FakeTensorMode.__torch_dispatch__:1369 | FakeTensor.__torch_dispatch__:279 | ProxyTorchDispatchMode.__torch_dispatch__:444
2025-08-14T21:33:50.7827247Z Dynamo produced 1 graphs covering 58 ops with 0 graph breaks (0 unique)
2025-08-14T21:33:55.0117467Z 
2025-08-14T21:33:55.2575709Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:33:55.2576028Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:33:55.2581616Z cpu  eval  dcgan                              
2025-08-14T21:33:55.2748319Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:33:55.2841654Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:33:55.2902800Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:33:58.7460732Z cudagraph partition due to non gpu ops
2025-08-14T21:33:58.7461096Z cudagraph partition due to non gpu ops
2025-08-14T21:33:58.7461318Z cudagraph partition due to non gpu ops
2025-08-14T21:33:58.7461543Z cudagraph partition due to non gpu ops
2025-08-14T21:33:58.7461768Z cudagraph partition due to non gpu ops
2025-08-14T21:33:58.7462212Z cudagraph partition due to non gpu ops
2025-08-14T21:33:58.7462496Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:58.7462914Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:58.7463290Z     return mod(*inputs)
2025-08-14T21:33:58.7464073Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-14T21:33:58.7464417Z     return self.main(input)
2025-08-14T21:33:58.7464545Z 
2025-08-14T21:33:58.7464675Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:58.7465078Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:58.7465433Z     return mod(*inputs)
2025-08-14T21:33:58.7465735Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-14T21:33:58.7466053Z     return self.main(input)
2025-08-14T21:33:58.7466190Z 
2025-08-14T21:33:58.7466306Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:58.7466698Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:58.7467056Z     return mod(*inputs)
2025-08-14T21:33:58.7467339Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-14T21:33:58.7467660Z     return self.main(input)
2025-08-14T21:33:58.7467901Z 
2025-08-14T21:33:58.7468021Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:58.7468426Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:58.7468777Z     return mod(*inputs)
2025-08-14T21:33:58.7469061Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-14T21:33:58.7469490Z     return self.main(input)
2025-08-14T21:33:58.7469615Z 
2025-08-14T21:33:58.7469726Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:58.7470133Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:58.7470492Z     return mod(*inputs)
2025-08-14T21:33:58.7470768Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-14T21:33:58.7471085Z     return self.main(input)
2025-08-14T21:33:58.7471213Z 
2025-08-14T21:33:58.7471328Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:58.7471721Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:58.7472072Z     return mod(*inputs)
2025-08-14T21:33:58.7472370Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-14T21:33:58.7472694Z     return self.main(input)
2025-08-14T21:33:58.7472814Z 
2025-08-14T21:33:58.7472923Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:33:58.7473330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:33:58.7473691Z     return mod(*inputs)
2025-08-14T21:33:58.7473976Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-14T21:33:58.7474297Z     return self.main(input)
2025-08-14T21:33:58.7474425Z 
2025-08-14T21:34:06.4027437Z Compilation time (from dynamo_timed): 10.07724148
2025-08-14T21:34:06.4027757Z pass
2025-08-14T21:34:06.4031631Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:34:06.4032585Z TIMING: _recursive_pre_grad_passes:0.00384 _recursive_joint_graph_passes:0.13338 _recursive_post_grad_passes:0.0265 async_compile.wait:0.66831 code_gen:7.54525 inductor_compile:7.88783 backend_compile:9.473 gc:0.00088 entire_frame_compile:10.07724 total_wall_time:10.07724
2025-08-14T21:34:06.4033824Z STATS: call_* op count: 13 | FakeTensorMode.__torch_dispatch__:1161 | attempt fast:26 | fast is_contiguous:26 | FakeTensor.__torch_dispatch__:416 | ProxyTorchDispatchMode.__torch_dispatch__:315
2025-08-14T21:34:06.4034457Z Dynamo produced 1 graphs covering 13 ops with 0 graph breaks (0 unique)
2025-08-14T21:34:10.6365183Z 
2025-08-14T21:34:12.5797007Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:34:12.5797318Z loading model: 0it [00:01, ?it/s]
2025-08-14T21:34:12.5797642Z cpu  eval  demucs                             
2025-08-14T21:34:13.9792920Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:34:14.5936442Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:34:15.2342185Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:34:17.8901853Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:17.8902313Z    File "/torchbench/torchbenchmark/models/demucs/__init__.py", line 32, in forward
2025-08-14T21:34:17.8902709Z     mix = sources.sum(dim=1)
2025-08-14T21:34:17.8902847Z 
2025-08-14T21:34:25.6383287Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6383770Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6384115Z     x = encode(x)
2025-08-14T21:34:25.6384232Z 
2025-08-14T21:34:25.6384362Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6384769Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6386842Z     x = encode(x)
2025-08-14T21:34:25.6386951Z 
2025-08-14T21:34:25.6387062Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6387437Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6387789Z     x = encode(x)
2025-08-14T21:34:25.6387900Z 
2025-08-14T21:34:25.6388016Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6388394Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6388753Z     x = encode(x)
2025-08-14T21:34:25.6388850Z 
2025-08-14T21:34:25.6388969Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6389340Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6389660Z     x = encode(x)
2025-08-14T21:34:25.6389755Z 
2025-08-14T21:34:25.6389873Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6390227Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6390554Z     x = encode(x)
2025-08-14T21:34:25.6390649Z 
2025-08-14T21:34:25.6390763Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6391120Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6391441Z     x = encode(x)
2025-08-14T21:34:25.6391546Z 
2025-08-14T21:34:25.6391656Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6392021Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6392339Z     x = encode(x)
2025-08-14T21:34:25.6392444Z 
2025-08-14T21:34:25.6392580Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6392950Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6393277Z     x = encode(x)
2025-08-14T21:34:25.6393375Z 
2025-08-14T21:34:25.6393489Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6393861Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6394191Z     x = encode(x)
2025-08-14T21:34:25.6394286Z 
2025-08-14T21:34:25.6394395Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6394764Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6395092Z     x = encode(x)
2025-08-14T21:34:25.6395189Z 
2025-08-14T21:34:25.6395304Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6395664Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6395993Z     x = encode(x)
2025-08-14T21:34:25.6396090Z 
2025-08-14T21:34:25.6396203Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6396676Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6397023Z     x = encode(x)
2025-08-14T21:34:25.6397128Z 
2025-08-14T21:34:25.6397237Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6397612Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6397938Z     x = encode(x)
2025-08-14T21:34:25.6398040Z 
2025-08-14T21:34:25.6398149Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6398523Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6398841Z     x = encode(x)
2025-08-14T21:34:25.6398943Z 
2025-08-14T21:34:25.6399051Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6399422Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6399752Z     x = encode(x)
2025-08-14T21:34:25.6399844Z 
2025-08-14T21:34:25.6399956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6400331Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6400714Z     x = encode(x)
2025-08-14T21:34:25.6400807Z 
2025-08-14T21:34:25.6400914Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6401285Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6401613Z     x = encode(x)
2025-08-14T21:34:25.6401709Z 
2025-08-14T21:34:25.6401823Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6402183Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6402574Z     x = encode(x)
2025-08-14T21:34:25.6402669Z 
2025-08-14T21:34:25.6402786Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6403147Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6403475Z     x = encode(x)
2025-08-14T21:34:25.6403585Z 
2025-08-14T21:34:25.6403695Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6404064Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6404386Z     x = encode(x)
2025-08-14T21:34:25.6404491Z 
2025-08-14T21:34:25.6404601Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6404987Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6405329Z     x = encode(x)
2025-08-14T21:34:25.6405435Z 
2025-08-14T21:34:25.6405544Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6405908Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6406238Z     x = encode(x)
2025-08-14T21:34:25.6406332Z 
2025-08-14T21:34:25.6406439Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:25.6406809Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:34:25.6407132Z     x = encode(x)
2025-08-14T21:34:25.6407230Z 
2025-08-14T21:34:27.9568705Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9569264Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9569685Z     x = x + skip
2025-08-14T21:34:27.9569808Z 
2025-08-14T21:34:27.9569962Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9570421Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9570832Z     x = decode(x)
2025-08-14T21:34:27.9570940Z 
2025-08-14T21:34:27.9571060Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9571500Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9571908Z     x = decode(x)
2025-08-14T21:34:27.9572010Z 
2025-08-14T21:34:27.9572557Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9573020Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9573432Z     x = decode(x)
2025-08-14T21:34:27.9573540Z 
2025-08-14T21:34:27.9573656Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9574098Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9574491Z     x = x + skip
2025-08-14T21:34:27.9574604Z 
2025-08-14T21:34:27.9574715Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9575159Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9575561Z     x = decode(x)
2025-08-14T21:34:27.9575659Z 
2025-08-14T21:34:27.9575767Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9576202Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9576734Z     x = decode(x)
2025-08-14T21:34:27.9576834Z 
2025-08-14T21:34:27.9576945Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9577385Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9577789Z     x = decode(x)
2025-08-14T21:34:27.9577887Z 
2025-08-14T21:34:27.9578004Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9578430Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9578835Z     x = x + skip
2025-08-14T21:34:27.9578937Z 
2025-08-14T21:34:27.9579059Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9579517Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9579935Z     x = decode(x)
2025-08-14T21:34:27.9580044Z 
2025-08-14T21:34:27.9580153Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9580608Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9581021Z     x = decode(x)
2025-08-14T21:34:27.9581127Z 
2025-08-14T21:34:27.9581237Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9581690Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9582105Z     x = decode(x)
2025-08-14T21:34:27.9582201Z 
2025-08-14T21:34:27.9582312Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9582766Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9583198Z     x = x + skip
2025-08-14T21:34:27.9583311Z 
2025-08-14T21:34:27.9583418Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9583849Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9584236Z     x = decode(x)
2025-08-14T21:34:27.9584331Z 
2025-08-14T21:34:27.9584443Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9584857Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9585242Z     x = decode(x)
2025-08-14T21:34:27.9585339Z 
2025-08-14T21:34:27.9585460Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9585896Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9586282Z     x = decode(x)
2025-08-14T21:34:27.9586384Z 
2025-08-14T21:34:27.9586491Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9587120Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9587519Z     x = x + skip
2025-08-14T21:34:27.9587624Z 
2025-08-14T21:34:27.9587733Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9588165Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9588557Z     x = decode(x)
2025-08-14T21:34:27.9588652Z 
2025-08-14T21:34:27.9588760Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9589189Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9589573Z     x = decode(x)
2025-08-14T21:34:27.9589668Z 
2025-08-14T21:34:27.9589784Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9590211Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9590662Z     x = decode(x)
2025-08-14T21:34:27.9590770Z 
2025-08-14T21:34:27.9590887Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9591303Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9591701Z     x = x + skip
2025-08-14T21:34:27.9591799Z 
2025-08-14T21:34:27.9591917Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9592359Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9592740Z     x = decode(x)
2025-08-14T21:34:27.9592841Z 
2025-08-14T21:34:27.9592949Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9593387Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9593769Z     x = decode(x)
2025-08-14T21:34:27.9593866Z 
2025-08-14T21:34:27.9593973Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:27.9594401Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:34:27.9594797Z     x = decode(x)
2025-08-14T21:34:27.9594890Z 
2025-08-14T21:34:30.1340979Z Compilation time (from dynamo_timed): 13.138732682
2025-08-14T21:34:30.1348332Z pass
2025-08-14T21:34:30.1354258Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:34:30.1355152Z TIMING: gc:0.00369 entire_frame_compile:13.13873 _recursive_pre_grad_passes:0.00509 _recursive_joint_graph_passes:0.33884 _recursive_post_grad_passes:0.02788 async_compile.wait:1.97665 code_gen:9.83229 inductor_compile:10.11373 backend_compile:11.45334 total_wall_time:13.13873
2025-08-14T21:34:30.1356342Z STATS: call_* op count: 62 | FakeTensorMode.__torch_dispatch__:2046 | ProxyTorchDispatchMode.__torch_dispatch__:595 | FakeTensor.__torch_dispatch__:416
2025-08-14T21:34:30.1356914Z Dynamo produced 3 graphs covering 62 ops with 3 graph breaks (1 unique)
2025-08-14T21:34:34.5040333Z 
2025-08-14T21:34:34.7259847Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/densenet121-a639ec97.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/densenet121-a639ec97.pth
2025-08-14T21:34:34.7434322Z 
2025-08-14T21:34:34.7434724Z 
2025-08-14T21:34:34.8180853Z   0% 0.00/30.8M [00:00<?, ?B/s]
2025-08-14T21:34:34.8181175Z 100% 30.8M/30.8M [00:00<00:00, 435MB/s]
2025-08-14T21:34:35.1865866Z 
2025-08-14T21:34:35.1866874Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:34:35.1900766Z cpu  eval  densenet121                        
2025-08-14T21:34:35.7898254Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:34:35.9568019Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:34:36.1150448Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:35:14.2414582Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2414917Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2415165Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2415406Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2415645Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2415874Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2416110Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2418606Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2418974Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2419220Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2419457Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2419730Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2419966Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2420227Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2420457Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2421171Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2421417Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2421683Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2421925Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2422146Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2422374Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2422605Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2422828Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2423065Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2423293Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2423522Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2423739Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2423965Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2424200Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2424418Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2424659Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2424919Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2425146Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2425372Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2425605Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2425850Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2426091Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2426324Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2426559Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2426798Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2427030Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2427254Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2427485Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2427711Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2427938Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2428168Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2428398Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2428620Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2428844Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2429074Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2429298Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2429535Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2429766Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2429997Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2430222Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2430451Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2430673Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2430908Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2431273Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2431501Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2431779Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2432279Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2432677Z     return mod(*inputs)
2025-08-14T21:35:14.2433087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2433499Z     features = self.features(x)
2025-08-14T21:35:14.2433638Z 
2025-08-14T21:35:14.2433758Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2434182Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2434559Z     return mod(*inputs)
2025-08-14T21:35:14.2434923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2435326Z     features = self.features(x)
2025-08-14T21:35:14.2435468Z 
2025-08-14T21:35:14.2436438Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2436856Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2437228Z     return mod(*inputs)
2025-08-14T21:35:14.2437599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2437999Z     features = self.features(x)
2025-08-14T21:35:14.2438132Z 
2025-08-14T21:35:14.2438262Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2438670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2439031Z     return mod(*inputs)
2025-08-14T21:35:14.2439395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2439785Z     features = self.features(x)
2025-08-14T21:35:14.2440176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2440579Z     new_features = layer(features)
2025-08-14T21:35:14.2440972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2441397Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2441843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2442373Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2442628Z 
2025-08-14T21:35:14.2442751Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2443170Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2443546Z     return mod(*inputs)
2025-08-14T21:35:14.2443916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2444311Z     features = self.features(x)
2025-08-14T21:35:14.2444693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2445096Z     new_features = layer(features)
2025-08-14T21:35:14.2445480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2445943Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2446168Z 
2025-08-14T21:35:14.2446285Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2446686Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2447058Z     return mod(*inputs)
2025-08-14T21:35:14.2447474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2447872Z     features = self.features(x)
2025-08-14T21:35:14.2448247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2448640Z     new_features = layer(features)
2025-08-14T21:35:14.2449030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2449493Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2449706Z 
2025-08-14T21:35:14.2449819Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2450219Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2450594Z     return mod(*inputs)
2025-08-14T21:35:14.2450950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2451330Z     features = self.features(x)
2025-08-14T21:35:14.2451706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2452142Z     new_features = layer(features)
2025-08-14T21:35:14.2452519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2452955Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2453393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2453821Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2454217Z 
2025-08-14T21:35:14.2454338Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2454746Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2455108Z     return mod(*inputs)
2025-08-14T21:35:14.2455476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2455873Z     features = self.features(x)
2025-08-14T21:35:14.2456249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2456645Z     new_features = layer(features)
2025-08-14T21:35:14.2457016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2457435Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2457864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2458372Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2458625Z 
2025-08-14T21:35:14.2458741Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2459144Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2459503Z     return mod(*inputs)
2025-08-14T21:35:14.2459858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2460252Z     features = self.features(x)
2025-08-14T21:35:14.2460621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2461008Z     new_features = layer(features)
2025-08-14T21:35:14.2461376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2461790Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2462533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2463050Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2463302Z 
2025-08-14T21:35:14.2463520Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2463937Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2464333Z     return mod(*inputs)
2025-08-14T21:35:14.2464683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2465084Z     features = self.features(x)
2025-08-14T21:35:14.2465460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2465854Z     new_features = layer(features)
2025-08-14T21:35:14.2466232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2466694Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2466912Z 
2025-08-14T21:35:14.2467037Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2467434Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2467886Z     return mod(*inputs)
2025-08-14T21:35:14.2468251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2468641Z     features = self.features(x)
2025-08-14T21:35:14.2469010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2469410Z     new_features = layer(features)
2025-08-14T21:35:14.2469795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2470260Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2470477Z 
2025-08-14T21:35:14.2470591Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2470995Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2471378Z     return mod(*inputs)
2025-08-14T21:35:14.2471730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2472120Z     features = self.features(x)
2025-08-14T21:35:14.2472507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2472897Z     new_features = layer(features)
2025-08-14T21:35:14.2473266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2473691Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2474127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2474541Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2474706Z 
2025-08-14T21:35:14.2474822Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2475224Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2475590Z     return mod(*inputs)
2025-08-14T21:35:14.2475947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2476342Z     features = self.features(x)
2025-08-14T21:35:14.2476721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2477107Z     new_features = layer(features)
2025-08-14T21:35:14.2477496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2477917Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2478340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2479019Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2479289Z 
2025-08-14T21:35:14.2479404Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2479799Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2480161Z     return mod(*inputs)
2025-08-14T21:35:14.2480517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2480905Z     features = self.features(x)
2025-08-14T21:35:14.2481285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2481662Z     new_features = layer(features)
2025-08-14T21:35:14.2482039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2482459Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2482895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2483437Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2483694Z 
2025-08-14T21:35:14.2483813Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2484208Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2484586Z     return mod(*inputs)
2025-08-14T21:35:14.2484938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2485332Z     features = self.features(x)
2025-08-14T21:35:14.2485705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2486089Z     new_features = layer(features)
2025-08-14T21:35:14.2486481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2486937Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2487150Z 
2025-08-14T21:35:14.2487289Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2487677Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2488033Z     return mod(*inputs)
2025-08-14T21:35:14.2488396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2488775Z     features = self.features(x)
2025-08-14T21:35:14.2489150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2489536Z     new_features = layer(features)
2025-08-14T21:35:14.2489914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2490372Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2490608Z 
2025-08-14T21:35:14.2490720Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2491117Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2491496Z     return mod(*inputs)
2025-08-14T21:35:14.2491845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2492234Z     features = self.features(x)
2025-08-14T21:35:14.2492605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2492988Z     new_features = layer(features)
2025-08-14T21:35:14.2493377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2493802Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2494358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2494784Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2494947Z 
2025-08-14T21:35:14.2495064Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2495477Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2495835Z     return mod(*inputs)
2025-08-14T21:35:14.2496192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2496581Z     features = self.features(x)
2025-08-14T21:35:14.2496948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2497326Z     new_features = layer(features)
2025-08-14T21:35:14.2497717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2498137Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2498597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2499107Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2499367Z 
2025-08-14T21:35:14.2499875Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2500301Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2500668Z     return mod(*inputs)
2025-08-14T21:35:14.2501028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2501422Z     features = self.features(x)
2025-08-14T21:35:14.2501793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2502196Z     new_features = layer(features)
2025-08-14T21:35:14.2502584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2503008Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2503432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2503942Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2504191Z 
2025-08-14T21:35:14.2504316Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2504717Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2505072Z     return mod(*inputs)
2025-08-14T21:35:14.2505435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2505833Z     features = self.features(x)
2025-08-14T21:35:14.2506204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2506608Z     new_features = layer(features)
2025-08-14T21:35:14.2506999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2507473Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2507688Z 
2025-08-14T21:35:14.2507804Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2508208Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2508569Z     return mod(*inputs)
2025-08-14T21:35:14.2508923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2509318Z     features = self.features(x)
2025-08-14T21:35:14.2509730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2510131Z     new_features = layer(features)
2025-08-14T21:35:14.2510500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2510948Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2511153Z 
2025-08-14T21:35:14.2511272Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2511653Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2512027Z     return mod(*inputs)
2025-08-14T21:35:14.2512380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2512774Z     features = self.features(x)
2025-08-14T21:35:14.2513138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2513526Z     new_features = layer(features)
2025-08-14T21:35:14.2513932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2514342Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2514764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2515177Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2515328Z 
2025-08-14T21:35:14.2515447Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2515831Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2516184Z     return mod(*inputs)
2025-08-14T21:35:14.2516537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2516927Z     features = self.features(x)
2025-08-14T21:35:14.2517300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2517688Z     new_features = layer(features)
2025-08-14T21:35:14.2518063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2518471Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2518897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2519396Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2519641Z 
2025-08-14T21:35:14.2519761Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2520145Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2520499Z     return mod(*inputs)
2025-08-14T21:35:14.2520854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2521248Z     features = self.features(x)
2025-08-14T21:35:14.2521606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2521995Z     new_features = layer(features)
2025-08-14T21:35:14.2522378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2522785Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2523205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2523700Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2523949Z 
2025-08-14T21:35:14.2524068Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2524507Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2524869Z     return mod(*inputs)
2025-08-14T21:35:14.2525221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2525595Z     features = self.features(x)
2025-08-14T21:35:14.2525963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2526353Z     new_features = layer(features)
2025-08-14T21:35:14.2526729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2527176Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2527392Z 
2025-08-14T21:35:14.2527504Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2527896Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2528276Z     return mod(*inputs)
2025-08-14T21:35:14.2528623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2529048Z     features = self.features(x)
2025-08-14T21:35:14.2529413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2529795Z     new_features = layer(features)
2025-08-14T21:35:14.2530169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2530630Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2530839Z 
2025-08-14T21:35:14.2530957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2531339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2531688Z     return mod(*inputs)
2025-08-14T21:35:14.2532048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2532432Z     features = self.features(x)
2025-08-14T21:35:14.2532802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2533189Z     new_features = layer(features)
2025-08-14T21:35:14.2533565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2534093Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2534523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2534936Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2535092Z 
2025-08-14T21:35:14.2535214Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2535606Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2535964Z     return mod(*inputs)
2025-08-14T21:35:14.2536328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2536706Z     features = self.features(x)
2025-08-14T21:35:14.2537078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2537464Z     new_features = layer(features)
2025-08-14T21:35:14.2537835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2538242Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2538664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2539160Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2539408Z 
2025-08-14T21:35:14.2539559Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2539958Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2540308Z     return mod(*inputs)
2025-08-14T21:35:14.2540658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2541037Z     features = self.features(x)
2025-08-14T21:35:14.2541405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2541792Z     new_features = layer(features)
2025-08-14T21:35:14.2542161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2542570Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2542989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2543487Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2543773Z 
2025-08-14T21:35:14.2543885Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2544276Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2544628Z     return mod(*inputs)
2025-08-14T21:35:14.2544977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2545355Z     features = self.features(x)
2025-08-14T21:35:14.2545723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2546110Z     new_features = layer(features)
2025-08-14T21:35:14.2546472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2546920Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2547136Z 
2025-08-14T21:35:14.2547253Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2547642Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2548004Z     return mod(*inputs)
2025-08-14T21:35:14.2548362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2548749Z     features = self.features(x)
2025-08-14T21:35:14.2549112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2549506Z     new_features = layer(features)
2025-08-14T21:35:14.2549882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2550336Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2550549Z 
2025-08-14T21:35:14.2550645Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2550917Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2551316Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2551684Z     return mod(*inputs)
2025-08-14T21:35:14.2552043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2552432Z     features = self.features(x)
2025-08-14T21:35:14.2552802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-08-14T21:35:14.2553189Z     return torch.cat(features, 1)
2025-08-14T21:35:14.2553333Z 
2025-08-14T21:35:14.2553445Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2553861Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2554234Z     return mod(*inputs)
2025-08-14T21:35:14.2554617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2555001Z     features = self.features(x)
2025-08-14T21:35:14.2555127Z 
2025-08-14T21:35:14.2555245Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2555624Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2555972Z     return mod(*inputs)
2025-08-14T21:35:14.2556324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2556705Z     features = self.features(x)
2025-08-14T21:35:14.2556830Z 
2025-08-14T21:35:14.2556940Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2557327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2557673Z     return mod(*inputs)
2025-08-14T21:35:14.2558022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2558443Z     features = self.features(x)
2025-08-14T21:35:14.2558815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2559204Z     new_features = layer(features)
2025-08-14T21:35:14.2559576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2559993Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2560414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2560908Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2561162Z 
2025-08-14T21:35:14.2561273Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2561667Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2562206Z     return mod(*inputs)
2025-08-14T21:35:14.2562563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2562946Z     features = self.features(x)
2025-08-14T21:35:14.2563316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2563697Z     new_features = layer(features)
2025-08-14T21:35:14.2564075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2564526Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2564736Z 
2025-08-14T21:35:14.2564856Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2565238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2565592Z     return mod(*inputs)
2025-08-14T21:35:14.2565950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2566336Z     features = self.features(x)
2025-08-14T21:35:14.2566693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2567083Z     new_features = layer(features)
2025-08-14T21:35:14.2567457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2567901Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2568118Z 
2025-08-14T21:35:14.2568230Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2568618Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2568989Z     return mod(*inputs)
2025-08-14T21:35:14.2569463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2569861Z     features = self.features(x)
2025-08-14T21:35:14.2570233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2570620Z     new_features = layer(features)
2025-08-14T21:35:14.2570997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2571420Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2571849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2572255Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2572417Z 
2025-08-14T21:35:14.2572531Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2572927Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2573274Z     return mod(*inputs)
2025-08-14T21:35:14.2573694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2574170Z     features = self.features(x)
2025-08-14T21:35:14.2574541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2574934Z     new_features = layer(features)
2025-08-14T21:35:14.2575314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2575733Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2576160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2576656Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2576912Z 
2025-08-14T21:35:14.2577029Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2577428Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2577771Z     return mod(*inputs)
2025-08-14T21:35:14.2578125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2578508Z     features = self.features(x)
2025-08-14T21:35:14.2578873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2579250Z     new_features = layer(features)
2025-08-14T21:35:14.2579628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2580046Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2580460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2580963Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2581219Z 
2025-08-14T21:35:14.2581332Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2581727Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2582074Z     return mod(*inputs)
2025-08-14T21:35:14.2582426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2582809Z     features = self.features(x)
2025-08-14T21:35:14.2583175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2583557Z     new_features = layer(features)
2025-08-14T21:35:14.2583931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2584446Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2584658Z 
2025-08-14T21:35:14.2584770Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2585152Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2585499Z     return mod(*inputs)
2025-08-14T21:35:14.2585850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2586221Z     features = self.features(x)
2025-08-14T21:35:14.2586594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2586996Z     new_features = layer(features)
2025-08-14T21:35:14.2587370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2587831Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2588049Z 
2025-08-14T21:35:14.2588168Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2588602Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2588953Z     return mod(*inputs)
2025-08-14T21:35:14.2589295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2589670Z     features = self.features(x)
2025-08-14T21:35:14.2590016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2590391Z     new_features = layer(features)
2025-08-14T21:35:14.2590759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2591182Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2591599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2592016Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2592171Z 
2025-08-14T21:35:14.2592293Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2592693Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2593029Z     return mod(*inputs)
2025-08-14T21:35:14.2593371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2593743Z     features = self.features(x)
2025-08-14T21:35:14.2594093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2594469Z     new_features = layer(features)
2025-08-14T21:35:14.2594832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2595241Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2595658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2596166Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2596422Z 
2025-08-14T21:35:14.2596543Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2596938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2597302Z     return mod(*inputs)
2025-08-14T21:35:14.2597656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2598044Z     features = self.features(x)
2025-08-14T21:35:14.2598410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2598808Z     new_features = layer(features)
2025-08-14T21:35:14.2599237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2599647Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2600071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2600574Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2600830Z 
2025-08-14T21:35:14.2600949Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2601350Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2601719Z     return mod(*inputs)
2025-08-14T21:35:14.2602074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2602474Z     features = self.features(x)
2025-08-14T21:35:14.2602844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2603236Z     new_features = layer(features)
2025-08-14T21:35:14.2603656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2604106Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2604325Z 
2025-08-14T21:35:14.2604438Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2604850Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2605212Z     return mod(*inputs)
2025-08-14T21:35:14.2605556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2605939Z     features = self.features(x)
2025-08-14T21:35:14.2606307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2606688Z     new_features = layer(features)
2025-08-14T21:35:14.2607068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2607521Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2607731Z 
2025-08-14T21:35:14.2607850Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2608233Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2608603Z     return mod(*inputs)
2025-08-14T21:35:14.2608954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2609342Z     features = self.features(x)
2025-08-14T21:35:14.2609708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2610098Z     new_features = layer(features)
2025-08-14T21:35:14.2610483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2610892Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2611314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2611726Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2611878Z 
2025-08-14T21:35:14.2611997Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2612378Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2612732Z     return mod(*inputs)
2025-08-14T21:35:14.2613088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2613463Z     features = self.features(x)
2025-08-14T21:35:14.2613831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2614389Z     new_features = layer(features)
2025-08-14T21:35:14.2614784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2615202Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2615628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2616133Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2616377Z 
2025-08-14T21:35:14.2616499Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2616885Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2617249Z     return mod(*inputs)
2025-08-14T21:35:14.2617604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2617984Z     features = self.features(x)
2025-08-14T21:35:14.2618352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2618815Z     new_features = layer(features)
2025-08-14T21:35:14.2619187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2619594Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2620018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2620520Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2620766Z 
2025-08-14T21:35:14.2620882Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2621275Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2621630Z     return mod(*inputs)
2025-08-14T21:35:14.2621990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2622379Z     features = self.features(x)
2025-08-14T21:35:14.2622747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2623142Z     new_features = layer(features)
2025-08-14T21:35:14.2623511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2623963Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2624180Z 
2025-08-14T21:35:14.2624296Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2624693Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2625042Z     return mod(*inputs)
2025-08-14T21:35:14.2625400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2625787Z     features = self.features(x)
2025-08-14T21:35:14.2626167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2626545Z     new_features = layer(features)
2025-08-14T21:35:14.2626919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2627368Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2627578Z 
2025-08-14T21:35:14.2627691Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2628082Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2628447Z     return mod(*inputs)
2025-08-14T21:35:14.2628801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2629225Z     features = self.features(x)
2025-08-14T21:35:14.2629596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2629985Z     new_features = layer(features)
2025-08-14T21:35:14.2630353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2630769Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2631194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2631605Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2631755Z 
2025-08-14T21:35:14.2631868Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2632252Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2632619Z     return mod(*inputs)
2025-08-14T21:35:14.2632963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2633397Z     features = self.features(x)
2025-08-14T21:35:14.2633761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2634154Z     new_features = layer(features)
2025-08-14T21:35:14.2634522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2634941Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2635365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2635862Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2636110Z 
2025-08-14T21:35:14.2636223Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2636620Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2636975Z     return mod(*inputs)
2025-08-14T21:35:14.2637325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2637712Z     features = self.features(x)
2025-08-14T21:35:14.2638080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2638468Z     new_features = layer(features)
2025-08-14T21:35:14.2638837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2639253Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2639676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2640170Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2640424Z 
2025-08-14T21:35:14.2640542Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2640945Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2641302Z     return mod(*inputs)
2025-08-14T21:35:14.2641649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2642034Z     features = self.features(x)
2025-08-14T21:35:14.2642404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2642790Z     new_features = layer(features)
2025-08-14T21:35:14.2643159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2643609Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2643823Z 
2025-08-14T21:35:14.2643990Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2644375Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2644730Z     return mod(*inputs)
2025-08-14T21:35:14.2645081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2645463Z     features = self.features(x)
2025-08-14T21:35:14.2645823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2646210Z     new_features = layer(features)
2025-08-14T21:35:14.2646583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2647025Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2647243Z 
2025-08-14T21:35:14.2647355Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2647744Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2648144Z     return mod(*inputs)
2025-08-14T21:35:14.2648499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2648893Z     features = self.features(x)
2025-08-14T21:35:14.2649269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2649658Z     new_features = layer(features)
2025-08-14T21:35:14.2650044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2650473Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2650903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2651306Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2651467Z 
2025-08-14T21:35:14.2651585Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2651992Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2652371Z     return mod(*inputs)
2025-08-14T21:35:14.2652727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2653121Z     features = self.features(x)
2025-08-14T21:35:14.2653496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2654006Z     new_features = layer(features)
2025-08-14T21:35:14.2654398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2654821Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2655247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2655747Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2656007Z 
2025-08-14T21:35:14.2656120Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2656518Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2656863Z     return mod(*inputs)
2025-08-14T21:35:14.2657220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2657609Z     features = self.features(x)
2025-08-14T21:35:14.2657979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2658372Z     new_features = layer(features)
2025-08-14T21:35:14.2658751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2659168Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2659659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2660165Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2660421Z 
2025-08-14T21:35:14.2660538Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2660946Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2661331Z     return mod(*inputs)
2025-08-14T21:35:14.2661689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2662267Z     features = self.features(x)
2025-08-14T21:35:14.2662645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2663028Z     new_features = layer(features)
2025-08-14T21:35:14.2663411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2663963Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2664177Z 
2025-08-14T21:35:14.2664290Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2664720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2665087Z     return mod(*inputs)
2025-08-14T21:35:14.2665467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2665850Z     features = self.features(x)
2025-08-14T21:35:14.2666230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2666632Z     new_features = layer(features)
2025-08-14T21:35:14.2667005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2667465Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2667689Z 
2025-08-14T21:35:14.2667803Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2668206Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2668569Z     return mod(*inputs)
2025-08-14T21:35:14.2668931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2669318Z     features = self.features(x)
2025-08-14T21:35:14.2669692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2670078Z     new_features = layer(features)
2025-08-14T21:35:14.2670457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2670884Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2671307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2671722Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2671878Z 
2025-08-14T21:35:14.2671993Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2672387Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2672748Z     return mod(*inputs)
2025-08-14T21:35:14.2673102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2673492Z     features = self.features(x)
2025-08-14T21:35:14.2673857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2674249Z     new_features = layer(features)
2025-08-14T21:35:14.2674679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2675097Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2675514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2676019Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2676261Z 
2025-08-14T21:35:14.2676383Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2676778Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2677121Z     return mod(*inputs)
2025-08-14T21:35:14.2677474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2677857Z     features = self.features(x)
2025-08-14T21:35:14.2678220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2678607Z     new_features = layer(features)
2025-08-14T21:35:14.2679028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2679444Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2679861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2680365Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2680612Z 
2025-08-14T21:35:14.2680731Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2681117Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2681472Z     return mod(*inputs)
2025-08-14T21:35:14.2681827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2682213Z     features = self.features(x)
2025-08-14T21:35:14.2682569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2682957Z     new_features = layer(features)
2025-08-14T21:35:14.2683335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2683779Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2683996Z 
2025-08-14T21:35:14.2684107Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2684501Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2684858Z     return mod(*inputs)
2025-08-14T21:35:14.2685208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2685593Z     features = self.features(x)
2025-08-14T21:35:14.2685965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2686359Z     new_features = layer(features)
2025-08-14T21:35:14.2686730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2687187Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2687393Z 
2025-08-14T21:35:14.2687509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2687882Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2688231Z     return mod(*inputs)
2025-08-14T21:35:14.2688585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2688972Z     features = self.features(x)
2025-08-14T21:35:14.2689375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2689767Z     new_features = layer(features)
2025-08-14T21:35:14.2690146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2690557Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2690980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2691393Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2691541Z 
2025-08-14T21:35:14.2691659Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2692044Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2692398Z     return mod(*inputs)
2025-08-14T21:35:14.2692754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2693131Z     features = self.features(x)
2025-08-14T21:35:14.2693505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2694020Z     new_features = layer(features)
2025-08-14T21:35:14.2694407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2694820Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2695250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2695757Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2696003Z 
2025-08-14T21:35:14.2696126Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2696517Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2696874Z     return mod(*inputs)
2025-08-14T21:35:14.2697237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2697612Z     features = self.features(x)
2025-08-14T21:35:14.2697975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2698360Z     new_features = layer(features)
2025-08-14T21:35:14.2698732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2699136Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2699556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2700045Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2700283Z 
2025-08-14T21:35:14.2700402Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2700779Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2701126Z     return mod(*inputs)
2025-08-14T21:35:14.2701469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2701838Z     features = self.features(x)
2025-08-14T21:35:14.2702201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2702578Z     new_features = layer(features)
2025-08-14T21:35:14.2702947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2703379Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2703587Z 
2025-08-14T21:35:14.2703695Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2704077Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2704465Z     return mod(*inputs)
2025-08-14T21:35:14.2704819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2705191Z     features = self.features(x)
2025-08-14T21:35:14.2705551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2705920Z     new_features = layer(features)
2025-08-14T21:35:14.2706283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2706715Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2706919Z 
2025-08-14T21:35:14.2707026Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2707408Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2707753Z     return mod(*inputs)
2025-08-14T21:35:14.2708098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2708510Z     features = self.features(x)
2025-08-14T21:35:14.2708868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2709242Z     new_features = layer(features)
2025-08-14T21:35:14.2709595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2710003Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2710412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2710815Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2710960Z 
2025-08-14T21:35:14.2711068Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2711452Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2711802Z     return mod(*inputs)
2025-08-14T21:35:14.2712145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2712511Z     features = self.features(x)
2025-08-14T21:35:14.2712869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2713244Z     new_features = layer(features)
2025-08-14T21:35:14.2713600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2714004Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2714413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2714909Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2715153Z 
2025-08-14T21:35:14.2715270Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2715676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2716041Z     return mod(*inputs)
2025-08-14T21:35:14.2716392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2716779Z     features = self.features(x)
2025-08-14T21:35:14.2717149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2717540Z     new_features = layer(features)
2025-08-14T21:35:14.2717907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2718323Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2718796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2719303Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2719552Z 
2025-08-14T21:35:14.2719671Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2720084Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2720451Z     return mod(*inputs)
2025-08-14T21:35:14.2720799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2721193Z     features = self.features(x)
2025-08-14T21:35:14.2721569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2721955Z     new_features = layer(features)
2025-08-14T21:35:14.2722327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2722789Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2723032Z 
2025-08-14T21:35:14.2723154Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2723552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2723918Z     return mod(*inputs)
2025-08-14T21:35:14.2724275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2724670Z     features = self.features(x)
2025-08-14T21:35:14.2725033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2725419Z     new_features = layer(features)
2025-08-14T21:35:14.2725789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2726239Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2726462Z 
2025-08-14T21:35:14.2726577Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2726987Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2727350Z     return mod(*inputs)
2025-08-14T21:35:14.2727698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2728084Z     features = self.features(x)
2025-08-14T21:35:14.2728458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2728844Z     new_features = layer(features)
2025-08-14T21:35:14.2729214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2729629Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2730057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2730470Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2730634Z 
2025-08-14T21:35:14.2730748Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2731160Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2731535Z     return mod(*inputs)
2025-08-14T21:35:14.2731884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2732271Z     features = self.features(x)
2025-08-14T21:35:14.2732643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2733027Z     new_features = layer(features)
2025-08-14T21:35:14.2733404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2733826Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2734400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2734902Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2735156Z 
2025-08-14T21:35:14.2735270Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2735667Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2736048Z     return mod(*inputs)
2025-08-14T21:35:14.2736403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2736792Z     features = self.features(x)
2025-08-14T21:35:14.2737157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2737541Z     new_features = layer(features)
2025-08-14T21:35:14.2737918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2738381Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2738806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2739300Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2739554Z 
2025-08-14T21:35:14.2739667Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2740069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2740407Z     return mod(*inputs)
2025-08-14T21:35:14.2740754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2741136Z     features = self.features(x)
2025-08-14T21:35:14.2741507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2741891Z     new_features = layer(features)
2025-08-14T21:35:14.2742265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2742716Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2742933Z 
2025-08-14T21:35:14.2743048Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2743420Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2743763Z     return mod(*inputs)
2025-08-14T21:35:14.2744105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2744467Z     features = self.features(x)
2025-08-14T21:35:14.2744827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2745217Z     new_features = layer(features)
2025-08-14T21:35:14.2745594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2746042Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2746263Z 
2025-08-14T21:35:14.2746376Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2746770Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2747114Z     return mod(*inputs)
2025-08-14T21:35:14.2747477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2747855Z     features = self.features(x)
2025-08-14T21:35:14.2748235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2748619Z     new_features = layer(features)
2025-08-14T21:35:14.2749051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2749476Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2749883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2750282Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2750442Z 
2025-08-14T21:35:14.2750554Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2750947Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2751297Z     return mod(*inputs)
2025-08-14T21:35:14.2751653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2752040Z     features = self.features(x)
2025-08-14T21:35:14.2752399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2752794Z     new_features = layer(features)
2025-08-14T21:35:14.2753212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2753633Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2754051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2754552Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2754810Z 
2025-08-14T21:35:14.2754924Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2755313Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2755679Z     return mod(*inputs)
2025-08-14T21:35:14.2756031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2756422Z     features = self.features(x)
2025-08-14T21:35:14.2756781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2757174Z     new_features = layer(features)
2025-08-14T21:35:14.2757548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2757970Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2758386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2758884Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2759125Z 
2025-08-14T21:35:14.2759246Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2759637Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2760000Z     return mod(*inputs)
2025-08-14T21:35:14.2760354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2760743Z     features = self.features(x)
2025-08-14T21:35:14.2761102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2761489Z     new_features = layer(features)
2025-08-14T21:35:14.2761861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2762512Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2762725Z 
2025-08-14T21:35:14.2762838Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2763235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2763589Z     return mod(*inputs)
2025-08-14T21:35:14.2764027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2764416Z     features = self.features(x)
2025-08-14T21:35:14.2764785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2765171Z     new_features = layer(features)
2025-08-14T21:35:14.2765537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2765984Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2766193Z 
2025-08-14T21:35:14.2766316Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2766701Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2767057Z     return mod(*inputs)
2025-08-14T21:35:14.2767413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2767801Z     features = self.features(x)
2025-08-14T21:35:14.2768162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2768618Z     new_features = layer(features)
2025-08-14T21:35:14.2768997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2769408Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2769835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2770251Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2770402Z 
2025-08-14T21:35:14.2770523Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2770910Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2771266Z     return mod(*inputs)
2025-08-14T21:35:14.2771640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2772030Z     features = self.features(x)
2025-08-14T21:35:14.2772390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2772779Z     new_features = layer(features)
2025-08-14T21:35:14.2773155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2773569Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2774062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2774570Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2774814Z 
2025-08-14T21:35:14.2774935Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2775322Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2775678Z     return mod(*inputs)
2025-08-14T21:35:14.2776036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2776412Z     features = self.features(x)
2025-08-14T21:35:14.2776781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2777172Z     new_features = layer(features)
2025-08-14T21:35:14.2777547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2777966Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2778390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2778892Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2779187Z 
2025-08-14T21:35:14.2779312Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2779702Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2780071Z     return mod(*inputs)
2025-08-14T21:35:14.2780427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2780805Z     features = self.features(x)
2025-08-14T21:35:14.2781171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2781561Z     new_features = layer(features)
2025-08-14T21:35:14.2781940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2782384Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2782599Z 
2025-08-14T21:35:14.2782713Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2783109Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2783499Z     return mod(*inputs)
2025-08-14T21:35:14.2783855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2784244Z     features = self.features(x)
2025-08-14T21:35:14.2784616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2784997Z     new_features = layer(features)
2025-08-14T21:35:14.2785372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2785824Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2786034Z 
2025-08-14T21:35:14.2786134Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2786367Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2786605Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2786834Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2787053Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2787282Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.2787541Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2787927Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2788285Z     return mod(*inputs)
2025-08-14T21:35:14.2788643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2789026Z     features = self.features(x)
2025-08-14T21:35:14.2789388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-08-14T21:35:14.2789778Z     return torch.cat(features, 1)
2025-08-14T21:35:14.2789913Z 
2025-08-14T21:35:14.2790035Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2790420Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2790781Z     return mod(*inputs)
2025-08-14T21:35:14.2791138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2791535Z     features = self.features(x)
2025-08-14T21:35:14.2791657Z 
2025-08-14T21:35:14.2791766Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2792149Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2792492Z     return mod(*inputs)
2025-08-14T21:35:14.2792834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2793209Z     features = self.features(x)
2025-08-14T21:35:14.2793339Z 
2025-08-14T21:35:14.2793447Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2793866Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2794210Z     return mod(*inputs)
2025-08-14T21:35:14.2794555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2794925Z     features = self.features(x)
2025-08-14T21:35:14.2795270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2795647Z     new_features = layer(features)
2025-08-14T21:35:14.2796014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2796414Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2796817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2797309Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2797624Z 
2025-08-14T21:35:14.2797742Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2798128Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2798465Z     return mod(*inputs)
2025-08-14T21:35:14.2798805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2799174Z     features = self.features(x)
2025-08-14T21:35:14.2799525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2799905Z     new_features = layer(features)
2025-08-14T21:35:14.2800272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2800707Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2800908Z 
2025-08-14T21:35:14.2801019Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2801407Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2801752Z     return mod(*inputs)
2025-08-14T21:35:14.2802090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2802464Z     features = self.features(x)
2025-08-14T21:35:14.2802822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2803199Z     new_features = layer(features)
2025-08-14T21:35:14.2803558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2803991Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2804191Z 
2025-08-14T21:35:14.2804307Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2804691Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2805034Z     return mod(*inputs)
2025-08-14T21:35:14.2805374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2805754Z     features = self.features(x)
2025-08-14T21:35:14.2806113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2806202Z     new_features = layer(features)
2025-08-14T21:35:14.2806443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2806553Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2806807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2806901Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2806953Z 
2025-08-14T21:35:14.2807077Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2807309Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2807380Z     return mod(*inputs)
2025-08-14T21:35:14.2807625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2807704Z     features = self.features(x)
2025-08-14T21:35:14.2807950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2808032Z     new_features = layer(features)
2025-08-14T21:35:14.2808268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2808384Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2808631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2808849Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2808862Z 
2025-08-14T21:35:14.2808973Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2809186Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2809265Z     return mod(*inputs)
2025-08-14T21:35:14.2809502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2809578Z     features = self.features(x)
2025-08-14T21:35:14.2809821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2809900Z     new_features = layer(features)
2025-08-14T21:35:14.2810143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2810256Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2810503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2810692Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2810695Z 
2025-08-14T21:35:14.2810823Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2811033Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2811111Z     return mod(*inputs)
2025-08-14T21:35:14.2811348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2811432Z     features = self.features(x)
2025-08-14T21:35:14.2811667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2811749Z     new_features = layer(features)
2025-08-14T21:35:14.2811993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2812141Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2812144Z 
2025-08-14T21:35:14.2812262Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2812474Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2812544Z     return mod(*inputs)
2025-08-14T21:35:14.2812787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2812863Z     features = self.features(x)
2025-08-14T21:35:14.2813096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2813184Z     new_features = layer(features)
2025-08-14T21:35:14.2813451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2813605Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2813610Z 
2025-08-14T21:35:14.2813719Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2814007Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2814093Z     return mod(*inputs)
2025-08-14T21:35:14.2814333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2814411Z     features = self.features(x)
2025-08-14T21:35:14.2814657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2814737Z     new_features = layer(features)
2025-08-14T21:35:14.2814981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2815097Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2815386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2815487Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2815491Z 
2025-08-14T21:35:14.2815604Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2815827Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2815899Z     return mod(*inputs)
2025-08-14T21:35:14.2816136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2816223Z     features = self.features(x)
2025-08-14T21:35:14.2816461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2816542Z     new_features = layer(features)
2025-08-14T21:35:14.2816791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2816904Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2817159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2817341Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2817345Z 
2025-08-14T21:35:14.2817456Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2817679Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2817750Z     return mod(*inputs)
2025-08-14T21:35:14.2817988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2818072Z     features = self.features(x)
2025-08-14T21:35:14.2818310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2818399Z     new_features = layer(features)
2025-08-14T21:35:14.2818635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2818745Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2818999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2819178Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2819182Z 
2025-08-14T21:35:14.2819300Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2819518Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2819590Z     return mod(*inputs)
2025-08-14T21:35:14.2819874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2819957Z     features = self.features(x)
2025-08-14T21:35:14.2820195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2820282Z     new_features = layer(features)
2025-08-14T21:35:14.2820517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2820665Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2820669Z 
2025-08-14T21:35:14.2820780Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2820992Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2821071Z     return mod(*inputs)
2025-08-14T21:35:14.2821307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2821386Z     features = self.features(x)
2025-08-14T21:35:14.2821630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2821745Z     new_features = layer(features)
2025-08-14T21:35:14.2821987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2822128Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2822132Z 
2025-08-14T21:35:14.2822243Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2822465Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2822536Z     return mod(*inputs)
2025-08-14T21:35:14.2822781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2822857Z     features = self.features(x)
2025-08-14T21:35:14.2823132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2823271Z     new_features = layer(features)
2025-08-14T21:35:14.2823512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2823623Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2823880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2823973Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2823977Z 
2025-08-14T21:35:14.2824099Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2824316Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2824386Z     return mod(*inputs)
2025-08-14T21:35:14.2824634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2824715Z     features = self.features(x)
2025-08-14T21:35:14.2824954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2825042Z     new_features = layer(features)
2025-08-14T21:35:14.2825280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2825400Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2825648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2825829Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2825833Z 
2025-08-14T21:35:14.2825951Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2826163Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2826280Z     return mod(*inputs)
2025-08-14T21:35:14.2826521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2826600Z     features = self.features(x)
2025-08-14T21:35:14.2826844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2826923Z     new_features = layer(features)
2025-08-14T21:35:14.2827157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2827275Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2827521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2827706Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2827709Z 
2025-08-14T21:35:14.2827823Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2828037Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2828164Z     return mod(*inputs)
2025-08-14T21:35:14.2828413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2828493Z     features = self.features(x)
2025-08-14T21:35:14.2828729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2828806Z     new_features = layer(features)
2025-08-14T21:35:14.2829046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2829185Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2829189Z 
2025-08-14T21:35:14.2829296Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2829522Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2829595Z     return mod(*inputs)
2025-08-14T21:35:14.2829841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2829915Z     features = self.features(x)
2025-08-14T21:35:14.2830150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2830237Z     new_features = layer(features)
2025-08-14T21:35:14.2830470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2830608Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2830619Z 
2025-08-14T21:35:14.2830729Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2830949Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2831030Z     return mod(*inputs)
2025-08-14T21:35:14.2831279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2831355Z     features = self.features(x)
2025-08-14T21:35:14.2831609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2831687Z     new_features = layer(features)
2025-08-14T21:35:14.2831947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2832056Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2832301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2832400Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2832404Z 
2025-08-14T21:35:14.2832511Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2832762Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2832845Z     return mod(*inputs)
2025-08-14T21:35:14.2833075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2833158Z     features = self.features(x)
2025-08-14T21:35:14.2833393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2833475Z     new_features = layer(features)
2025-08-14T21:35:14.2833718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2833828Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2834072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2834268Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2834305Z 
2025-08-14T21:35:14.2834417Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2834639Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2834710Z     return mod(*inputs)
2025-08-14T21:35:14.2834945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2835029Z     features = self.features(x)
2025-08-14T21:35:14.2835265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2835351Z     new_features = layer(features)
2025-08-14T21:35:14.2835586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2835695Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2835960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2836139Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2836143Z 
2025-08-14T21:35:14.2836250Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2836463Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2836532Z     return mod(*inputs)
2025-08-14T21:35:14.2836781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2836856Z     features = self.features(x)
2025-08-14T21:35:14.2837084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2837166Z     new_features = layer(features)
2025-08-14T21:35:14.2837396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2837544Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2837551Z 
2025-08-14T21:35:14.2837659Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2837866Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2837941Z     return mod(*inputs)
2025-08-14T21:35:14.2838172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2838245Z     features = self.features(x)
2025-08-14T21:35:14.2838483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2838558Z     new_features = layer(features)
2025-08-14T21:35:14.2838794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2838963Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2838970Z 
2025-08-14T21:35:14.2839079Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2839294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2839361Z     return mod(*inputs)
2025-08-14T21:35:14.2839590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2839672Z     features = self.features(x)
2025-08-14T21:35:14.2839900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2839982Z     new_features = layer(features)
2025-08-14T21:35:14.2840212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2840318Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2840568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2840697Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2840701Z 
2025-08-14T21:35:14.2840814Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2841023Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2841091Z     return mod(*inputs)
2025-08-14T21:35:14.2841326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2841399Z     features = self.features(x)
2025-08-14T21:35:14.2841624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2841707Z     new_features = layer(features)
2025-08-14T21:35:14.2841932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2842044Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2842288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2842469Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2842472Z 
2025-08-14T21:35:14.2842588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2842799Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2842876Z     return mod(*inputs)
2025-08-14T21:35:14.2843113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2843187Z     features = self.features(x)
2025-08-14T21:35:14.2843437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2843513Z     new_features = layer(features)
2025-08-14T21:35:14.2843743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2843859Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2844096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2844278Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2844282Z 
2025-08-14T21:35:14.2844388Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2844594Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2844670Z     return mod(*inputs)
2025-08-14T21:35:14.2844905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2844979Z     features = self.features(x)
2025-08-14T21:35:14.2845267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2845355Z     new_features = layer(features)
2025-08-14T21:35:14.2845615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2845758Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2845762Z 
2025-08-14T21:35:14.2845872Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2846095Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2846163Z     return mod(*inputs)
2025-08-14T21:35:14.2846433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2846509Z     features = self.features(x)
2025-08-14T21:35:14.2846765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2846850Z     new_features = layer(features)
2025-08-14T21:35:14.2847124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2847266Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2847269Z 
2025-08-14T21:35:14.2847387Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2847600Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2847678Z     return mod(*inputs)
2025-08-14T21:35:14.2847930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2848006Z     features = self.features(x)
2025-08-14T21:35:14.2848261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2848340Z     new_features = layer(features)
2025-08-14T21:35:14.2848576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2848696Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2848944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2849047Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2849050Z 
2025-08-14T21:35:14.2849159Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2849371Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2849450Z     return mod(*inputs)
2025-08-14T21:35:14.2849709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2849793Z     features = self.features(x)
2025-08-14T21:35:14.2850048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2850129Z     new_features = layer(features)
2025-08-14T21:35:14.2850390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2850499Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2850757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2850947Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2850950Z 
2025-08-14T21:35:14.2851061Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2851280Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2851349Z     return mod(*inputs)
2025-08-14T21:35:14.2851644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2851735Z     features = self.features(x)
2025-08-14T21:35:14.2851990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2852068Z     new_features = layer(features)
2025-08-14T21:35:14.2852333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2852443Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2852696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2852877Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2852880Z 
2025-08-14T21:35:14.2852991Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2853214Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2853287Z     return mod(*inputs)
2025-08-14T21:35:14.2853584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2853661Z     features = self.features(x)
2025-08-14T21:35:14.2853992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2854088Z     new_features = layer(features)
2025-08-14T21:35:14.2854342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2854485Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2854497Z 
2025-08-14T21:35:14.2854607Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2854822Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2854900Z     return mod(*inputs)
2025-08-14T21:35:14.2855154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2855234Z     features = self.features(x)
2025-08-14T21:35:14.2855480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2855557Z     new_features = layer(features)
2025-08-14T21:35:14.2855803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2855946Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2855950Z 
2025-08-14T21:35:14.2856061Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2856283Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2856356Z     return mod(*inputs)
2025-08-14T21:35:14.2856597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2856686Z     features = self.features(x)
2025-08-14T21:35:14.2856922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2857010Z     new_features = layer(features)
2025-08-14T21:35:14.2857248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2857359Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2857612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2857705Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2857708Z 
2025-08-14T21:35:14.2857818Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2858040Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2858153Z     return mod(*inputs)
2025-08-14T21:35:14.2858404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2858484Z     features = self.features(x)
2025-08-14T21:35:14.2858721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2858806Z     new_features = layer(features)
2025-08-14T21:35:14.2859044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2859159Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2859405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2859588Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2859593Z 
2025-08-14T21:35:14.2859712Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2859928Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2860038Z     return mod(*inputs)
2025-08-14T21:35:14.2860287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2860363Z     features = self.features(x)
2025-08-14T21:35:14.2860612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2860691Z     new_features = layer(features)
2025-08-14T21:35:14.2860932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2861051Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2861305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2861487Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2861501Z 
2025-08-14T21:35:14.2861612Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2861832Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2861909Z     return mod(*inputs)
2025-08-14T21:35:14.2862313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2862397Z     features = self.features(x)
2025-08-14T21:35:14.2862645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2862725Z     new_features = layer(features)
2025-08-14T21:35:14.2862970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2863113Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2863121Z 
2025-08-14T21:35:14.2863233Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2863459Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2863530Z     return mod(*inputs)
2025-08-14T21:35:14.2863767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2863853Z     features = self.features(x)
2025-08-14T21:35:14.2864090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2864178Z     new_features = layer(features)
2025-08-14T21:35:14.2864417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2864559Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2864563Z 
2025-08-14T21:35:14.2864768Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2864984Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2865067Z     return mod(*inputs)
2025-08-14T21:35:14.2865305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2865381Z     features = self.features(x)
2025-08-14T21:35:14.2865623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2865700Z     new_features = layer(features)
2025-08-14T21:35:14.2865934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2866053Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2866300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2866405Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2866409Z 
2025-08-14T21:35:14.2866587Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2866799Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2866879Z     return mod(*inputs)
2025-08-14T21:35:14.2867117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2867192Z     features = self.features(x)
2025-08-14T21:35:14.2867439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2867520Z     new_features = layer(features)
2025-08-14T21:35:14.2867761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2867871Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2868117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2868308Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2868312Z 
2025-08-14T21:35:14.2868423Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2868643Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2868713Z     return mod(*inputs)
2025-08-14T21:35:14.2868950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2869034Z     features = self.features(x)
2025-08-14T21:35:14.2869270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2869349Z     new_features = layer(features)
2025-08-14T21:35:14.2869596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2869708Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2869963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2870146Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2870149Z 
2025-08-14T21:35:14.2870259Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2870477Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2870548Z     return mod(*inputs)
2025-08-14T21:35:14.2870792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2870868Z     features = self.features(x)
2025-08-14T21:35:14.2871104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2871224Z     new_features = layer(features)
2025-08-14T21:35:14.2871466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2871607Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2871611Z 
2025-08-14T21:35:14.2871729Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2871944Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2872021Z     return mod(*inputs)
2025-08-14T21:35:14.2872258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2872333Z     features = self.features(x)
2025-08-14T21:35:14.2872575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2872654Z     new_features = layer(features)
2025-08-14T21:35:14.2872891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2873074Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2873078Z 
2025-08-14T21:35:14.2873187Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2873407Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2873477Z     return mod(*inputs)
2025-08-14T21:35:14.2873710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2873794Z     features = self.features(x)
2025-08-14T21:35:14.2874028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2874112Z     new_features = layer(features)
2025-08-14T21:35:14.2874348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2874457Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2874710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2874800Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2874804Z 
2025-08-14T21:35:14.2874914Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2875136Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2875205Z     return mod(*inputs)
2025-08-14T21:35:14.2875446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2875520Z     features = self.features(x)
2025-08-14T21:35:14.2875754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2875838Z     new_features = layer(features)
2025-08-14T21:35:14.2876073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2876185Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2876434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2876616Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2876620Z 
2025-08-14T21:35:14.2876736Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2876950Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2877021Z     return mod(*inputs)
2025-08-14T21:35:14.2877266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2877342Z     features = self.features(x)
2025-08-14T21:35:14.2877627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2877711Z     new_features = layer(features)
2025-08-14T21:35:14.2877953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2878073Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2878318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2878498Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2878510Z 
2025-08-14T21:35:14.2878623Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2878837Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2878914Z     return mod(*inputs)
2025-08-14T21:35:14.2879163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2879276Z     features = self.features(x)
2025-08-14T21:35:14.2879520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2879597Z     new_features = layer(features)
2025-08-14T21:35:14.2879832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2879983Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2879987Z 
2025-08-14T21:35:14.2880098Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2880316Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2880386Z     return mod(*inputs)
2025-08-14T21:35:14.2880622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2880709Z     features = self.features(x)
2025-08-14T21:35:14.2880949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2881033Z     new_features = layer(features)
2025-08-14T21:35:14.2881268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2881408Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2881413Z 
2025-08-14T21:35:14.2881529Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2881742Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2881812Z     return mod(*inputs)
2025-08-14T21:35:14.2882054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2882130Z     features = self.features(x)
2025-08-14T21:35:14.2882373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2882452Z     new_features = layer(features)
2025-08-14T21:35:14.2882687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2882804Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2883049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2883146Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2883150Z 
2025-08-14T21:35:14.2883260Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2883471Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2883548Z     return mod(*inputs)
2025-08-14T21:35:14.2883818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2883897Z     features = self.features(x)
2025-08-14T21:35:14.2884143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2884220Z     new_features = layer(features)
2025-08-14T21:35:14.2884463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2884573Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2884817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2885007Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2885011Z 
2025-08-14T21:35:14.2885120Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2885341Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2885415Z     return mod(*inputs)
2025-08-14T21:35:14.2885685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2885769Z     features = self.features(x)
2025-08-14T21:35:14.2886005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2886082Z     new_features = layer(features)
2025-08-14T21:35:14.2886324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2886433Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2886687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2886869Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2886873Z 
2025-08-14T21:35:14.2886985Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2887212Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2887284Z     return mod(*inputs)
2025-08-14T21:35:14.2887521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2887603Z     features = self.features(x)
2025-08-14T21:35:14.2887840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2887925Z     new_features = layer(features)
2025-08-14T21:35:14.2888167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2888309Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2888313Z 
2025-08-14T21:35:14.2888430Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2888651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2888731Z     return mod(*inputs)
2025-08-14T21:35:14.2888969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2889044Z     features = self.features(x)
2025-08-14T21:35:14.2889286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2889363Z     new_features = layer(features)
2025-08-14T21:35:14.2889606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2889753Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2889757Z 
2025-08-14T21:35:14.2889865Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2890084Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2890187Z     return mod(*inputs)
2025-08-14T21:35:14.2890428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2890512Z     features = self.features(x)
2025-08-14T21:35:14.2890748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2890825Z     new_features = layer(features)
2025-08-14T21:35:14.2891070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2891179Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2891431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2891523Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2891527Z 
2025-08-14T21:35:14.2891635Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2891860Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2891967Z     return mod(*inputs)
2025-08-14T21:35:14.2892215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2892292Z     features = self.features(x)
2025-08-14T21:35:14.2892530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2892616Z     new_features = layer(features)
2025-08-14T21:35:14.2892866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2892977Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2893236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2893422Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2893428Z 
2025-08-14T21:35:14.2893546Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2893770Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2893840Z     return mod(*inputs)
2025-08-14T21:35:14.2894162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2894243Z     features = self.features(x)
2025-08-14T21:35:14.2894482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2894571Z     new_features = layer(features)
2025-08-14T21:35:14.2894811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2894930Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2895182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2895369Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2895372Z 
2025-08-14T21:35:14.2895496Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2895731Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2895814Z     return mod(*inputs)
2025-08-14T21:35:14.2896054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2896131Z     features = self.features(x)
2025-08-14T21:35:14.2896376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2896453Z     new_features = layer(features)
2025-08-14T21:35:14.2896732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2896891Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2896895Z 
2025-08-14T21:35:14.2897005Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2897226Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2897296Z     return mod(*inputs)
2025-08-14T21:35:14.2897533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2897617Z     features = self.features(x)
2025-08-14T21:35:14.2897856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2897940Z     new_features = layer(features)
2025-08-14T21:35:14.2898185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2898329Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2899033Z 
2025-08-14T21:35:14.2899164Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2899378Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2899449Z     return mod(*inputs)
2025-08-14T21:35:14.2899700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2899776Z     features = self.features(x)
2025-08-14T21:35:14.2900022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2900100Z     new_features = layer(features)
2025-08-14T21:35:14.2900339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2900460Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2900708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2900804Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2900817Z 
2025-08-14T21:35:14.2900929Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2901143Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2901221Z     return mod(*inputs)
2025-08-14T21:35:14.2901459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2901536Z     features = self.features(x)
2025-08-14T21:35:14.2901779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2901857Z     new_features = layer(features)
2025-08-14T21:35:14.2902094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2902216Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2902465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2902654Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2902658Z 
2025-08-14T21:35:14.2902768Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2902980Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2903060Z     return mod(*inputs)
2025-08-14T21:35:14.2903295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2903379Z     features = self.features(x)
2025-08-14T21:35:14.2903614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2903737Z     new_features = layer(features)
2025-08-14T21:35:14.2903984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2904097Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2904337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2904524Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2904527Z 
2025-08-14T21:35:14.2904636Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2904853Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2904924Z     return mod(*inputs)
2025-08-14T21:35:14.2905159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2905244Z     features = self.features(x)
2025-08-14T21:35:14.2905480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2905631Z     new_features = layer(features)
2025-08-14T21:35:14.2905867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2906008Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2906012Z 
2025-08-14T21:35:14.2906130Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2906340Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2922696Z     return mod(*inputs)
2025-08-14T21:35:14.2923169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2923262Z     features = self.features(x)
2025-08-14T21:35:14.2923560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2923662Z     new_features = layer(features)
2025-08-14T21:35:14.2923912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2924076Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2924084Z 
2025-08-14T21:35:14.2924214Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2924454Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2924535Z     return mod(*inputs)
2025-08-14T21:35:14.2924781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2924870Z     features = self.features(x)
2025-08-14T21:35:14.2925106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2925189Z     new_features = layer(features)
2025-08-14T21:35:14.2925434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2925560Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2925818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2925918Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2925923Z 
2025-08-14T21:35:14.2926041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2926272Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2926345Z     return mod(*inputs)
2025-08-14T21:35:14.2926583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2926673Z     features = self.features(x)
2025-08-14T21:35:14.2927034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2927133Z     new_features = layer(features)
2025-08-14T21:35:14.2927377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2927491Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2927758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2927953Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2927957Z 
2025-08-14T21:35:14.2928084Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2928307Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2928380Z     return mod(*inputs)
2025-08-14T21:35:14.2928634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2928770Z     features = self.features(x)
2025-08-14T21:35:14.2929005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2929095Z     new_features = layer(features)
2025-08-14T21:35:14.2929329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2929450Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2929694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2929880Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2929884Z 
2025-08-14T21:35:14.2930006Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2930226Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2930304Z     return mod(*inputs)
2025-08-14T21:35:14.2930547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2930626Z     features = self.features(x)
2025-08-14T21:35:14.2930870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2930948Z     new_features = layer(features)
2025-08-14T21:35:14.2931183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2931342Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2931347Z 
2025-08-14T21:35:14.2931458Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2931685Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2931756Z     return mod(*inputs)
2025-08-14T21:35:14.2931994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2932083Z     features = self.features(x)
2025-08-14T21:35:14.2932319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2932398Z     new_features = layer(features)
2025-08-14T21:35:14.2932639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2932783Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2932787Z 
2025-08-14T21:35:14.2932905Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2933120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2933187Z     return mod(*inputs)
2025-08-14T21:35:14.2933490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2933570Z     features = self.features(x)
2025-08-14T21:35:14.2933807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2933992Z     new_features = layer(features)
2025-08-14T21:35:14.2934242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2934362Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2934610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2934706Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2934710Z 
2025-08-14T21:35:14.2934832Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2935048Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2935129Z     return mod(*inputs)
2025-08-14T21:35:14.2935404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2935480Z     features = self.features(x)
2025-08-14T21:35:14.2935720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2935796Z     new_features = layer(features)
2025-08-14T21:35:14.2936031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2936151Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2936397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2936588Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2936592Z 
2025-08-14T21:35:14.2936706Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2936920Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2937002Z     return mod(*inputs)
2025-08-14T21:35:14.2937237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2937312Z     features = self.features(x)
2025-08-14T21:35:14.2937556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2937632Z     new_features = layer(features)
2025-08-14T21:35:14.2937874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2937980Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2938226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2938419Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2938426Z 
2025-08-14T21:35:14.2938536Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2938754Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2938822Z     return mod(*inputs)
2025-08-14T21:35:14.2939060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2939141Z     features = self.features(x)
2025-08-14T21:35:14.2939377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2939452Z     new_features = layer(features)
2025-08-14T21:35:14.2939697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2939839Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2939876Z 
2025-08-14T21:35:14.2939997Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2940212Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2940282Z     return mod(*inputs)
2025-08-14T21:35:14.2940527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2940601Z     features = self.features(x)
2025-08-14T21:35:14.2940838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2940923Z     new_features = layer(features)
2025-08-14T21:35:14.2941157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2941308Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2941312Z 
2025-08-14T21:35:14.2941424Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2941636Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2941750Z     return mod(*inputs)
2025-08-14T21:35:14.2941988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2942071Z     features = self.features(x)
2025-08-14T21:35:14.2942307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2942385Z     new_features = layer(features)
2025-08-14T21:35:14.2942629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2942738Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2942986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2943090Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2943096Z 
2025-08-14T21:35:14.2943209Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2943430Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2943501Z     return mod(*inputs)
2025-08-14T21:35:14.2943737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2943821Z     features = self.features(x)
2025-08-14T21:35:14.2944058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2944134Z     new_features = layer(features)
2025-08-14T21:35:14.2944379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2944487Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2944748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2944936Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2944940Z 
2025-08-14T21:35:14.2945051Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2945276Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2945346Z     return mod(*inputs)
2025-08-14T21:35:14.2945591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2945666Z     features = self.features(x)
2025-08-14T21:35:14.2945903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2945988Z     new_features = layer(features)
2025-08-14T21:35:14.2946263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2946385Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2946632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2946807Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2946811Z 
2025-08-14T21:35:14.2946924Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2947133Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2947202Z     return mod(*inputs)
2025-08-14T21:35:14.2947441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2947514Z     features = self.features(x)
2025-08-14T21:35:14.2947757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2947837Z     new_features = layer(features)
2025-08-14T21:35:14.2948112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2948271Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2948275Z 
2025-08-14T21:35:14.2948382Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2948587Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2948661Z     return mod(*inputs)
2025-08-14T21:35:14.2948887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2948966Z     features = self.features(x)
2025-08-14T21:35:14.2949192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2949267Z     new_features = layer(features)
2025-08-14T21:35:14.2949503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2949648Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2949652Z 
2025-08-14T21:35:14.2949769Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2949984Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2950053Z     return mod(*inputs)
2025-08-14T21:35:14.2950295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2950370Z     features = self.features(x)
2025-08-14T21:35:14.2950604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2950690Z     new_features = layer(features)
2025-08-14T21:35:14.2950927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2951045Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2951294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2951385Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2951389Z 
2025-08-14T21:35:14.2951506Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2951722Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2951793Z     return mod(*inputs)
2025-08-14T21:35:14.2952033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2952107Z     features = self.features(x)
2025-08-14T21:35:14.2952346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2952461Z     new_features = layer(features)
2025-08-14T21:35:14.2952698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2952820Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2953064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2953245Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2953257Z 
2025-08-14T21:35:14.2953368Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2953582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2953658Z     return mod(*inputs)
2025-08-14T21:35:14.2953895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2953970Z     features = self.features(x)
2025-08-14T21:35:14.2954213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2954337Z     new_features = layer(features)
2025-08-14T21:35:14.2954578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2954687Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2954933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2955120Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2955124Z 
2025-08-14T21:35:14.2955235Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2955452Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2955529Z     return mod(*inputs)
2025-08-14T21:35:14.2955768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2955855Z     features = self.features(x)
2025-08-14T21:35:14.2956089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2956167Z     new_features = layer(features)
2025-08-14T21:35:14.2956413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2956556Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2956560Z 
2025-08-14T21:35:14.2956676Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2956892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2956961Z     return mod(*inputs)
2025-08-14T21:35:14.2957206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2957285Z     features = self.features(x)
2025-08-14T21:35:14.2957525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2957609Z     new_features = layer(features)
2025-08-14T21:35:14.2957856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2958003Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2958006Z 
2025-08-14T21:35:14.2958114Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2958317Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2958394Z     return mod(*inputs)
2025-08-14T21:35:14.2958622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2958695Z     features = self.features(x)
2025-08-14T21:35:14.2959004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2959085Z     new_features = layer(features)
2025-08-14T21:35:14.2959325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2959434Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2959671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2959770Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2959774Z 
2025-08-14T21:35:14.2959881Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2960099Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2960169Z     return mod(*inputs)
2025-08-14T21:35:14.2960410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2960531Z     features = self.features(x)
2025-08-14T21:35:14.2960766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2960843Z     new_features = layer(features)
2025-08-14T21:35:14.2961089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2961198Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2961451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2961631Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2961634Z 
2025-08-14T21:35:14.2961745Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2961975Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2962260Z     return mod(*inputs)
2025-08-14T21:35:14.2962508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2962585Z     features = self.features(x)
2025-08-14T21:35:14.2962819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2962908Z     new_features = layer(features)
2025-08-14T21:35:14.2963142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2963252Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2963503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2963684Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2963688Z 
2025-08-14T21:35:14.2963811Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2964024Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2964095Z     return mod(*inputs)
2025-08-14T21:35:14.2964341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2964419Z     features = self.features(x)
2025-08-14T21:35:14.2964650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2964741Z     new_features = layer(features)
2025-08-14T21:35:14.2964974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2965126Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2965129Z 
2025-08-14T21:35:14.2965240Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2965571Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2965655Z     return mod(*inputs)
2025-08-14T21:35:14.2965884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2965966Z     features = self.features(x)
2025-08-14T21:35:14.2966191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2966267Z     new_features = layer(features)
2025-08-14T21:35:14.2966501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2966641Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2966644Z 
2025-08-14T21:35:14.2966752Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2966970Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2967041Z     return mod(*inputs)
2025-08-14T21:35:14.2967348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2967424Z     features = self.features(x)
2025-08-14T21:35:14.2967658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2967745Z     new_features = layer(features)
2025-08-14T21:35:14.2967980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2968087Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2968339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2968432Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2968436Z 
2025-08-14T21:35:14.2968555Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2968768Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2968840Z     return mod(*inputs)
2025-08-14T21:35:14.2969082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2969156Z     features = self.features(x)
2025-08-14T21:35:14.2969397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2969473Z     new_features = layer(features)
2025-08-14T21:35:14.2969707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2969825Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2970070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2970254Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2970267Z 
2025-08-14T21:35:14.2970377Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2970590Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2970667Z     return mod(*inputs)
2025-08-14T21:35:14.2970906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2970981Z     features = self.features(x)
2025-08-14T21:35:14.2971222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2971299Z     new_features = layer(features)
2025-08-14T21:35:14.2971532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2971648Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2971929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2972122Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2972126Z 
2025-08-14T21:35:14.2972234Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2972450Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2972529Z     return mod(*inputs)
2025-08-14T21:35:14.2972769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2972852Z     features = self.features(x)
2025-08-14T21:35:14.2973089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2973166Z     new_features = layer(features)
2025-08-14T21:35:14.2973414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2973595Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2973599Z 
2025-08-14T21:35:14.2973708Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2973998Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2974079Z     return mod(*inputs)
2025-08-14T21:35:14.2974322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2974396Z     features = self.features(x)
2025-08-14T21:35:14.2974633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2974722Z     new_features = layer(features)
2025-08-14T21:35:14.2974955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2975108Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2975115Z 
2025-08-14T21:35:14.2975225Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2975436Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2975516Z     return mod(*inputs)
2025-08-14T21:35:14.2975752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2975827Z     features = self.features(x)
2025-08-14T21:35:14.2976072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2976149Z     new_features = layer(features)
2025-08-14T21:35:14.2976393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2976503Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2976754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2976860Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2976864Z 
2025-08-14T21:35:14.2976973Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2977185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2977263Z     return mod(*inputs)
2025-08-14T21:35:14.2977500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2977580Z     features = self.features(x)
2025-08-14T21:35:14.2977814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2977890Z     new_features = layer(features)
2025-08-14T21:35:14.2978171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2978285Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2978544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2978726Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2978730Z 
2025-08-14T21:35:14.2978838Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2979057Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2979127Z     return mod(*inputs)
2025-08-14T21:35:14.2979366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2979449Z     features = self.features(x)
2025-08-14T21:35:14.2979687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2979776Z     new_features = layer(features)
2025-08-14T21:35:14.2980056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2980164Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2980413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2980593Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2980597Z 
2025-08-14T21:35:14.2980712Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2980927Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2980997Z     return mod(*inputs)
2025-08-14T21:35:14.2981239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2981315Z     features = self.features(x)
2025-08-14T21:35:14.2981553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2981643Z     new_features = layer(features)
2025-08-14T21:35:14.2981877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2982023Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2982027Z 
2025-08-14T21:35:14.2982135Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2982346Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2982424Z     return mod(*inputs)
2025-08-14T21:35:14.2982657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2982732Z     features = self.features(x)
2025-08-14T21:35:14.2982975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2983054Z     new_features = layer(features)
2025-08-14T21:35:14.2983294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2983436Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2983440Z 
2025-08-14T21:35:14.2983546Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2983765Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2983835Z     return mod(*inputs)
2025-08-14T21:35:14.2984074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2984160Z     features = self.features(x)
2025-08-14T21:35:14.2984385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2984499Z     new_features = layer(features)
2025-08-14T21:35:14.2984729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2984832Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2985075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2985164Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2985168Z 
2025-08-14T21:35:14.2985278Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2985483Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2985550Z     return mod(*inputs)
2025-08-14T21:35:14.2985788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2985860Z     features = self.features(x)
2025-08-14T21:35:14.2986092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2986209Z     new_features = layer(features)
2025-08-14T21:35:14.2986443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2986558Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2986806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2986982Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2986985Z 
2025-08-14T21:35:14.2987101Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2987310Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2987385Z     return mod(*inputs)
2025-08-14T21:35:14.2987621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2987698Z     features = self.features(x)
2025-08-14T21:35:14.2987943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2988018Z     new_features = layer(features)
2025-08-14T21:35:14.2988251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2988365Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2988607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2988789Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2988792Z 
2025-08-14T21:35:14.2988899Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2989111Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2989191Z     return mod(*inputs)
2025-08-14T21:35:14.2989424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2989505Z     features = self.features(x)
2025-08-14T21:35:14.2989738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2989817Z     new_features = layer(features)
2025-08-14T21:35:14.2990060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2990200Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2990203Z 
2025-08-14T21:35:14.2990309Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2990525Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2990628Z     return mod(*inputs)
2025-08-14T21:35:14.2990867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2990944Z     features = self.features(x)
2025-08-14T21:35:14.2991171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2991253Z     new_features = layer(features)
2025-08-14T21:35:14.2991481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2991619Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2991631Z 
2025-08-14T21:35:14.2991739Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2991946Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2992021Z     return mod(*inputs)
2025-08-14T21:35:14.2992252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2992359Z     features = self.features(x)
2025-08-14T21:35:14.2992600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2992676Z     new_features = layer(features)
2025-08-14T21:35:14.2992912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2993017Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2993255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.2993354Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.2993358Z 
2025-08-14T21:35:14.2993466Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2993682Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2993762Z     return mod(*inputs)
2025-08-14T21:35:14.2994011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2994098Z     features = self.features(x)
2025-08-14T21:35:14.2994330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2994404Z     new_features = layer(features)
2025-08-14T21:35:14.2994642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2994748Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2994994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2995169Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2995172Z 
2025-08-14T21:35:14.2995283Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2995510Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2995581Z     return mod(*inputs)
2025-08-14T21:35:14.2995819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2995900Z     features = self.features(x)
2025-08-14T21:35:14.2996135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2996221Z     new_features = layer(features)
2025-08-14T21:35:14.2996459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.2996566Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.2996817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.2997035Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.2997043Z 
2025-08-14T21:35:14.2997162Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2997375Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2997445Z     return mod(*inputs)
2025-08-14T21:35:14.2997686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2997760Z     features = self.features(x)
2025-08-14T21:35:14.2997994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2998079Z     new_features = layer(features)
2025-08-14T21:35:14.2998314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2998468Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2998472Z 
2025-08-14T21:35:14.2998617Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.2998829Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.2998908Z     return mod(*inputs)
2025-08-14T21:35:14.2999145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.2999220Z     features = self.features(x)
2025-08-14T21:35:14.2999463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.2999541Z     new_features = layer(features)
2025-08-14T21:35:14.2999784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.2999927Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.2999931Z 
2025-08-14T21:35:14.3000043Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3000266Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3000336Z     return mod(*inputs)
2025-08-14T21:35:14.3000579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3000654Z     features = self.features(x)
2025-08-14T21:35:14.3000887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3000970Z     new_features = layer(features)
2025-08-14T21:35:14.3001205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3001314Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3001567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.3001661Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.3001667Z 
2025-08-14T21:35:14.3001784Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3001996Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3002065Z     return mod(*inputs)
2025-08-14T21:35:14.3002308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3002382Z     features = self.features(x)
2025-08-14T21:35:14.3002620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3002705Z     new_features = layer(features)
2025-08-14T21:35:14.3002937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3003055Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3003338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3003527Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3003531Z 
2025-08-14T21:35:14.3003878Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3004089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3004166Z     return mod(*inputs)
2025-08-14T21:35:14.3004402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3004476Z     features = self.features(x)
2025-08-14T21:35:14.3004719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3004796Z     new_features = layer(features)
2025-08-14T21:35:14.3005033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3005197Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3005441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3005628Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3005631Z 
2025-08-14T21:35:14.3005740Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3005953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3006031Z     return mod(*inputs)
2025-08-14T21:35:14.3006270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3006355Z     features = self.features(x)
2025-08-14T21:35:14.3006590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3006669Z     new_features = layer(features)
2025-08-14T21:35:14.3006919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3007061Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3007064Z 
2025-08-14T21:35:14.3007183Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3007394Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3007464Z     return mod(*inputs)
2025-08-14T21:35:14.3007711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3007785Z     features = self.features(x)
2025-08-14T21:35:14.3008019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3008103Z     new_features = layer(features)
2025-08-14T21:35:14.3008341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3008495Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3008499Z 
2025-08-14T21:35:14.3008608Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3008819Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3008897Z     return mod(*inputs)
2025-08-14T21:35:14.3009134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3009208Z     features = self.features(x)
2025-08-14T21:35:14.3009453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3009530Z     new_features = layer(features)
2025-08-14T21:35:14.3009807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3009922Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3010170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.3010272Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.3010276Z 
2025-08-14T21:35:14.3010386Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3010606Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3010676Z     return mod(*inputs)
2025-08-14T21:35:14.3010913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3010995Z     features = self.features(x)
2025-08-14T21:35:14.3011229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3011309Z     new_features = layer(features)
2025-08-14T21:35:14.3011554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3011743Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3011995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3012179Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3012183Z 
2025-08-14T21:35:14.3012295Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3012515Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3012583Z     return mod(*inputs)
2025-08-14T21:35:14.3012818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3012900Z     features = self.features(x)
2025-08-14T21:35:14.3013138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3013228Z     new_features = layer(features)
2025-08-14T21:35:14.3013465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3013575Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3013828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3014307Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3014313Z 
2025-08-14T21:35:14.3014436Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3014651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3014721Z     return mod(*inputs)
2025-08-14T21:35:14.3014971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3015050Z     features = self.features(x)
2025-08-14T21:35:14.3015287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3015375Z     new_features = layer(features)
2025-08-14T21:35:14.3015609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3015763Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3015766Z 
2025-08-14T21:35:14.3015878Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3016090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3016168Z     return mod(*inputs)
2025-08-14T21:35:14.3016448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3016529Z     features = self.features(x)
2025-08-14T21:35:14.3016781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3016858Z     new_features = layer(features)
2025-08-14T21:35:14.3017108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3017249Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3017253Z 
2025-08-14T21:35:14.3017350Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.3017440Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.3017520Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.3017598Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.3017684Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.3017761Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.3017877Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3018093Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3018203Z     return mod(*inputs)
2025-08-14T21:35:14.3018449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3018525Z     features = self.features(x)
2025-08-14T21:35:14.3018761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-08-14T21:35:14.3018850Z     return torch.cat(features, 1)
2025-08-14T21:35:14.3018854Z 
2025-08-14T21:35:14.3018965Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3019185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3019255Z     return mod(*inputs)
2025-08-14T21:35:14.3019499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3019583Z     features = self.features(x)
2025-08-14T21:35:14.3019589Z 
2025-08-14T21:35:14.3019697Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3019928Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3019994Z     return mod(*inputs)
2025-08-14T21:35:14.3020227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3020307Z     features = self.features(x)
2025-08-14T21:35:14.3020311Z 
2025-08-14T21:35:14.3020417Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3020625Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3020701Z     return mod(*inputs)
2025-08-14T21:35:14.3020934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3021015Z     features = self.features(x)
2025-08-14T21:35:14.3021256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3021333Z     new_features = layer(features)
2025-08-14T21:35:14.3021579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3021689Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3021941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3022131Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3022135Z 
2025-08-14T21:35:14.3022244Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3022465Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3022535Z     return mod(*inputs)
2025-08-14T21:35:14.3022810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3022901Z     features = self.features(x)
2025-08-14T21:35:14.3023134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3023220Z     new_features = layer(features)
2025-08-14T21:35:14.3023451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3023594Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3023598Z 
2025-08-14T21:35:14.3023726Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3023932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3023998Z     return mod(*inputs)
2025-08-14T21:35:14.3024236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3024344Z     features = self.features(x)
2025-08-14T21:35:14.3024580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3024655Z     new_features = layer(features)
2025-08-14T21:35:14.3024883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3025030Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3025034Z 
2025-08-14T21:35:14.3025141Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3025358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3025428Z     return mod(*inputs)
2025-08-14T21:35:14.3025656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3025740Z     features = self.features(x)
2025-08-14T21:35:14.3025974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3026048Z     new_features = layer(features)
2025-08-14T21:35:14.3026286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3026394Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3026639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.3026728Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.3026732Z 
2025-08-14T21:35:14.3026838Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3027058Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3027128Z     return mod(*inputs)
2025-08-14T21:35:14.3027364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3027461Z     features = self.features(x)
2025-08-14T21:35:14.3027688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3027771Z     new_features = layer(features)
2025-08-14T21:35:14.3027998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3028105Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3028354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3028535Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3028539Z 
2025-08-14T21:35:14.3028654Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3028913Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3028991Z     return mod(*inputs)
2025-08-14T21:35:14.3029233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3029308Z     features = self.features(x)
2025-08-14T21:35:14.3029543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3029628Z     new_features = layer(features)
2025-08-14T21:35:14.3029862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3029979Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3030225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3030406Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3030410Z 
2025-08-14T21:35:14.3030568Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3030793Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3030861Z     return mod(*inputs)
2025-08-14T21:35:14.3031098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3031171Z     features = self.features(x)
2025-08-14T21:35:14.3031412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3031487Z     new_features = layer(features)
2025-08-14T21:35:14.3031719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3031866Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3031870Z 
2025-08-14T21:35:14.3031978Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3032197Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3032265Z     return mod(*inputs)
2025-08-14T21:35:14.3032496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3032575Z     features = self.features(x)
2025-08-14T21:35:14.3032806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3032879Z     new_features = layer(features)
2025-08-14T21:35:14.3033115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3033257Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3033261Z 
2025-08-14T21:35:14.3033375Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3033589Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3033660Z     return mod(*inputs)
2025-08-14T21:35:14.3033900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3033972Z     features = self.features(x)
2025-08-14T21:35:14.3034203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3034285Z     new_features = layer(features)
2025-08-14T21:35:14.3034522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3034639Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3034889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.3034981Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.3034985Z 
2025-08-14T21:35:14.3035141Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3035359Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3035436Z     return mod(*inputs)
2025-08-14T21:35:14.3035669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3035744Z     features = self.features(x)
2025-08-14T21:35:14.3035987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3036063Z     new_features = layer(features)
2025-08-14T21:35:14.3036308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3036422Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3036662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3036848Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3036889Z 
2025-08-14T21:35:14.3036998Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3037204Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3037281Z     return mod(*inputs)
2025-08-14T21:35:14.3037513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3037589Z     features = self.features(x)
2025-08-14T21:35:14.3037831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3037908Z     new_features = layer(features)
2025-08-14T21:35:14.3038150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3038260Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3038511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3038701Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3038705Z 
2025-08-14T21:35:14.3038815Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3039034Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3039105Z     return mod(*inputs)
2025-08-14T21:35:14.3039344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3039427Z     features = self.features(x)
2025-08-14T21:35:14.3039661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3039737Z     new_features = layer(features)
2025-08-14T21:35:14.3039984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3040132Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3040136Z 
2025-08-14T21:35:14.3040255Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3040468Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3040537Z     return mod(*inputs)
2025-08-14T21:35:14.3040782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3040857Z     features = self.features(x)
2025-08-14T21:35:14.3041100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3041177Z     new_features = layer(features)
2025-08-14T21:35:14.3041450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3041605Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3041609Z 
2025-08-14T21:35:14.3041717Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3041928Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3042010Z     return mod(*inputs)
2025-08-14T21:35:14.3042242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3042325Z     features = self.features(x)
2025-08-14T21:35:14.3042562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3042638Z     new_features = layer(features)
2025-08-14T21:35:14.3042880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3042989Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3043270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.3043370Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.3043374Z 
2025-08-14T21:35:14.3043482Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3043702Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3043783Z     return mod(*inputs)
2025-08-14T21:35:14.3044015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3044096Z     features = self.features(x)
2025-08-14T21:35:14.3044330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3044414Z     new_features = layer(features)
2025-08-14T21:35:14.3044650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3044761Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3045015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3045194Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3045198Z 
2025-08-14T21:35:14.3045314Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3045526Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3045596Z     return mod(*inputs)
2025-08-14T21:35:14.3045840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3045914Z     features = self.features(x)
2025-08-14T21:35:14.3046151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3046240Z     new_features = layer(features)
2025-08-14T21:35:14.3046473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3046588Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3046833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3047011Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3047015Z 
2025-08-14T21:35:14.3047134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3047347Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3047426Z     return mod(*inputs)
2025-08-14T21:35:14.3047695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3047773Z     features = self.features(x)
2025-08-14T21:35:14.3048021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3048097Z     new_features = layer(features)
2025-08-14T21:35:14.3048336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3048491Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3048495Z 
2025-08-14T21:35:14.3048604Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3048823Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3048892Z     return mod(*inputs)
2025-08-14T21:35:14.3049129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3049213Z     features = self.features(x)
2025-08-14T21:35:14.3049451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3049565Z     new_features = layer(features)
2025-08-14T21:35:14.3049815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3049958Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3049962Z 
2025-08-14T21:35:14.3050079Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3050297Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3050367Z     return mod(*inputs)
2025-08-14T21:35:14.3050617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3050691Z     features = self.features(x)
2025-08-14T21:35:14.3050945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3051024Z     new_features = layer(features)
2025-08-14T21:35:14.3051265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3051380Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3051633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.3051724Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.3051728Z 
2025-08-14T21:35:14.3051846Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3052069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3052146Z     return mod(*inputs)
2025-08-14T21:35:14.3052391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3052470Z     features = self.features(x)
2025-08-14T21:35:14.3052721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3052802Z     new_features = layer(features)
2025-08-14T21:35:14.3053060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3053176Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3053430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3053621Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3053625Z 
2025-08-14T21:35:14.3053736Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3054061Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3054146Z     return mod(*inputs)
2025-08-14T21:35:14.3054454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3054544Z     features = self.features(x)
2025-08-14T21:35:14.3054795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3054873Z     new_features = layer(features)
2025-08-14T21:35:14.3055132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3055242Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3055489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3055685Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3055688Z 
2025-08-14T21:35:14.3055801Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3056042Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3056160Z     return mod(*inputs)
2025-08-14T21:35:14.3056415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3056502Z     features = self.features(x)
2025-08-14T21:35:14.3056798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3056889Z     new_features = layer(features)
2025-08-14T21:35:14.3057139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3057286Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3057289Z 
2025-08-14T21:35:14.3057407Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3057627Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3057698Z     return mod(*inputs)
2025-08-14T21:35:14.3057953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3058029Z     features = self.features(x)
2025-08-14T21:35:14.3058283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3058360Z     new_features = layer(features)
2025-08-14T21:35:14.3058605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3058758Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3058761Z 
2025-08-14T21:35:14.3058871Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3059085Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3059164Z     return mod(*inputs)
2025-08-14T21:35:14.3059406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3059491Z     features = self.features(x)
2025-08-14T21:35:14.3059731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3059807Z     new_features = layer(features)
2025-08-14T21:35:14.3060053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3060164Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3060421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.3060514Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.3060517Z 
2025-08-14T21:35:14.3060627Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3060886Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3060961Z     return mod(*inputs)
2025-08-14T21:35:14.3061197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3061278Z     features = self.features(x)
2025-08-14T21:35:14.3061513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3061598Z     new_features = layer(features)
2025-08-14T21:35:14.3061837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3061947Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3062377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3062566Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3062574Z 
2025-08-14T21:35:14.3062684Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3062993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3063065Z     return mod(*inputs)
2025-08-14T21:35:14.3063309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3063383Z     features = self.features(x)
2025-08-14T21:35:14.3063620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3063706Z     new_features = layer(features)
2025-08-14T21:35:14.3063944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3064064Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3064315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3064499Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3064503Z 
2025-08-14T21:35:14.3064623Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3064837Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3064908Z     return mod(*inputs)
2025-08-14T21:35:14.3065158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3065232Z     features = self.features(x)
2025-08-14T21:35:14.3065474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3065553Z     new_features = layer(features)
2025-08-14T21:35:14.3065787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3065941Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3065947Z 
2025-08-14T21:35:14.3066058Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3066281Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3066351Z     return mod(*inputs)
2025-08-14T21:35:14.3066588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3066671Z     features = self.features(x)
2025-08-14T21:35:14.3066908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3066984Z     new_features = layer(features)
2025-08-14T21:35:14.3067224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3067368Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3067432Z 
2025-08-14T21:35:14.3067557Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3067772Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3067841Z     return mod(*inputs)
2025-08-14T21:35:14.3068086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3068160Z     features = self.features(x)
2025-08-14T21:35:14.3068395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3068481Z     new_features = layer(features)
2025-08-14T21:35:14.3068716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3068832Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3069082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.3069213Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.3069217Z 
2025-08-14T21:35:14.3069335Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3069551Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3069630Z     return mod(*inputs)
2025-08-14T21:35:14.3069871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3069948Z     features = self.features(x)
2025-08-14T21:35:14.3070196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3070273Z     new_features = layer(features)
2025-08-14T21:35:14.3070516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3070640Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3070892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3071088Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3071091Z 
2025-08-14T21:35:14.3071202Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3071418Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3071497Z     return mod(*inputs)
2025-08-14T21:35:14.3071738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3071813Z     features = self.features(x)
2025-08-14T21:35:14.3072059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3072136Z     new_features = layer(features)
2025-08-14T21:35:14.3072388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3072501Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3072752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3072942Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3072946Z 
2025-08-14T21:35:14.3073057Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3073280Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3073349Z     return mod(*inputs)
2025-08-14T21:35:14.3073591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3073673Z     features = self.features(x)
2025-08-14T21:35:14.3073954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3074038Z     new_features = layer(features)
2025-08-14T21:35:14.3074282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3074425Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3074429Z 
2025-08-14T21:35:14.3074547Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3074758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3074829Z     return mod(*inputs)
2025-08-14T21:35:14.3075079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3075154Z     features = self.features(x)
2025-08-14T21:35:14.3075388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3075475Z     new_features = layer(features)
2025-08-14T21:35:14.3075764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3075914Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3075918Z 
2025-08-14T21:35:14.3076027Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3076236Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3076314Z     return mod(*inputs)
2025-08-14T21:35:14.3076548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3076630Z     features = self.features(x)
2025-08-14T21:35:14.3076864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3076940Z     new_features = layer(features)
2025-08-14T21:35:14.3077187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3077298Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3077543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.3077643Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.3077647Z 
2025-08-14T21:35:14.3077756Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3077977Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3078047Z     return mod(*inputs)
2025-08-14T21:35:14.3078282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3078365Z     features = self.features(x)
2025-08-14T21:35:14.3078604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3078684Z     new_features = layer(features)
2025-08-14T21:35:14.3078927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3079035Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3079287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3079468Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3079472Z 
2025-08-14T21:35:14.3079579Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3079799Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3079868Z     return mod(*inputs)
2025-08-14T21:35:14.3080135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3080311Z     features = self.features(x)
2025-08-14T21:35:14.3080553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3080637Z     new_features = layer(features)
2025-08-14T21:35:14.3080870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3080979Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3081229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3081407Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3081411Z 
2025-08-14T21:35:14.3081525Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3081737Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3081810Z     return mod(*inputs)
2025-08-14T21:35:14.3082052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3082163Z     features = self.features(x)
2025-08-14T21:35:14.3082406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3082483Z     new_features = layer(features)
2025-08-14T21:35:14.3082720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3082868Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3082872Z 
2025-08-14T21:35:14.3082980Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3083192Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3083272Z     return mod(*inputs)
2025-08-14T21:35:14.3083509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3083593Z     features = self.features(x)
2025-08-14T21:35:14.3083830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3083908Z     new_features = layer(features)
2025-08-14T21:35:14.3084151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3084294Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3084298Z 
2025-08-14T21:35:14.3084414Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3084627Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3084698Z     return mod(*inputs)
2025-08-14T21:35:14.3084941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3085022Z     features = self.features(x)
2025-08-14T21:35:14.3085262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3085347Z     new_features = layer(features)
2025-08-14T21:35:14.3085584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3085700Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3085945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.3086038Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.3086043Z 
2025-08-14T21:35:14.3086160Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3086373Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3086443Z     return mod(*inputs)
2025-08-14T21:35:14.3086722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3086802Z     features = self.features(x)
2025-08-14T21:35:14.3087046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3087124Z     new_features = layer(features)
2025-08-14T21:35:14.3087357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3087475Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3087727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3087911Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3087923Z 
2025-08-14T21:35:14.3088034Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3088249Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3088367Z     return mod(*inputs)
2025-08-14T21:35:14.3088604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3088678Z     features = self.features(x)
2025-08-14T21:35:14.3088923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3089000Z     new_features = layer(features)
2025-08-14T21:35:14.3089244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3089354Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3089599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3089790Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3089794Z 
2025-08-14T21:35:14.3089906Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3090126Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3090197Z     return mod(*inputs)
2025-08-14T21:35:14.3090433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3090514Z     features = self.features(x)
2025-08-14T21:35:14.3090747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3090824Z     new_features = layer(features)
2025-08-14T21:35:14.3091069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3091212Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3091215Z 
2025-08-14T21:35:14.3091333Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3091549Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3091618Z     return mod(*inputs)
2025-08-14T21:35:14.3091861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3091934Z     features = self.features(x)
2025-08-14T21:35:14.3092168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3092254Z     new_features = layer(features)
2025-08-14T21:35:14.3092491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3092641Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3092645Z 
2025-08-14T21:35:14.3092753Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3093003Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3093088Z     return mod(*inputs)
2025-08-14T21:35:14.3093322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3093397Z     features = self.features(x)
2025-08-14T21:35:14.3093640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3093717Z     new_features = layer(features)
2025-08-14T21:35:14.3094047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3094165Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3094412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.3094514Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.3094522Z 
2025-08-14T21:35:14.3094634Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3094899Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3094970Z     return mod(*inputs)
2025-08-14T21:35:14.3095209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3095293Z     features = self.features(x)
2025-08-14T21:35:14.3095533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3095609Z     new_features = layer(features)
2025-08-14T21:35:14.3095855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3095964Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3096222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3096406Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3096411Z 
2025-08-14T21:35:14.3096521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3096743Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3096813Z     return mod(*inputs)
2025-08-14T21:35:14.3097056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3097131Z     features = self.features(x)
2025-08-14T21:35:14.3097367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3097449Z     new_features = layer(features)
2025-08-14T21:35:14.3097689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3097800Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3098056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3098233Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3098236Z 
2025-08-14T21:35:14.3098350Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3098564Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3098634Z     return mod(*inputs)
2025-08-14T21:35:14.3098878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3098952Z     features = self.features(x)
2025-08-14T21:35:14.3099191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3099274Z     new_features = layer(features)
2025-08-14T21:35:14.3099553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3099710Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3099714Z 
2025-08-14T21:35:14.3099822Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3100035Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3100115Z     return mod(*inputs)
2025-08-14T21:35:14.3100350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3100433Z     features = self.features(x)
2025-08-14T21:35:14.3100669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3100745Z     new_features = layer(features)
2025-08-14T21:35:14.3100990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3101181Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3101185Z 
2025-08-14T21:35:14.3101295Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3101518Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3101588Z     return mod(*inputs)
2025-08-14T21:35:14.3101829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3101904Z     features = self.features(x)
2025-08-14T21:35:14.3102138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3102224Z     new_features = layer(features)
2025-08-14T21:35:14.3102460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3102573Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3102827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.3102919Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.3102923Z 
2025-08-14T21:35:14.3103040Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3103253Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3103323Z     return mod(*inputs)
2025-08-14T21:35:14.3103566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3103641Z     features = self.features(x)
2025-08-14T21:35:14.3103881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3103958Z     new_features = layer(features)
2025-08-14T21:35:14.3104196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3104316Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3104562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3104741Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3104754Z 
2025-08-14T21:35:14.3104862Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3105077Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3105154Z     return mod(*inputs)
2025-08-14T21:35:14.3105398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3105472Z     features = self.features(x)
2025-08-14T21:35:14.3105754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3105836Z     new_features = layer(features)
2025-08-14T21:35:14.3106074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3106189Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3106439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3106633Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3106636Z 
2025-08-14T21:35:14.3106742Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3106949Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3107024Z     return mod(*inputs)
2025-08-14T21:35:14.3107260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3107340Z     features = self.features(x)
2025-08-14T21:35:14.3107607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3107682Z     new_features = layer(features)
2025-08-14T21:35:14.3107916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3108055Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3108059Z 
2025-08-14T21:35:14.3108173Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3108376Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3108445Z     return mod(*inputs)
2025-08-14T21:35:14.3108676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3108748Z     features = self.features(x)
2025-08-14T21:35:14.3108976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3109062Z     new_features = layer(features)
2025-08-14T21:35:14.3109289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3109434Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3109439Z 
2025-08-14T21:35:14.3109545Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3109749Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3109825Z     return mod(*inputs)
2025-08-14T21:35:14.3110051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3110123Z     features = self.features(x)
2025-08-14T21:35:14.3110364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3110443Z     new_features = layer(features)
2025-08-14T21:35:14.3110683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3110793Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3111036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.3111137Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.3111140Z 
2025-08-14T21:35:14.3111249Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3111468Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3111539Z     return mod(*inputs)
2025-08-14T21:35:14.3111771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3111896Z     features = self.features(x)
2025-08-14T21:35:14.3112137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3112213Z     new_features = layer(features)
2025-08-14T21:35:14.3112455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3112573Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3112818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3112996Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3112999Z 
2025-08-14T21:35:14.3113106Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3113327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3113399Z     return mod(*inputs)
2025-08-14T21:35:14.3113632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3113780Z     features = self.features(x)
2025-08-14T21:35:14.3114025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3114108Z     new_features = layer(features)
2025-08-14T21:35:14.3114349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3114459Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3114718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3114897Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3114901Z 
2025-08-14T21:35:14.3115018Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3115238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3115311Z     return mod(*inputs)
2025-08-14T21:35:14.3115562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3115638Z     features = self.features(x)
2025-08-14T21:35:14.3115880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3115967Z     new_features = layer(features)
2025-08-14T21:35:14.3116214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3116364Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3116367Z 
2025-08-14T21:35:14.3116476Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3116696Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3116779Z     return mod(*inputs)
2025-08-14T21:35:14.3117021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3117098Z     features = self.features(x)
2025-08-14T21:35:14.3117348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3117425Z     new_features = layer(features)
2025-08-14T21:35:14.3117673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3117818Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3117822Z 
2025-08-14T21:35:14.3117935Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3118160Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3118271Z     return mod(*inputs)
2025-08-14T21:35:14.3118516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3118596Z     features = self.features(x)
2025-08-14T21:35:14.3118829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3118914Z     new_features = layer(features)
2025-08-14T21:35:14.3119147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3119257Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3119511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.3119603Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.3119606Z 
2025-08-14T21:35:14.3119722Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3119936Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3120038Z     return mod(*inputs)
2025-08-14T21:35:14.3120287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3120362Z     features = self.features(x)
2025-08-14T21:35:14.3120600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3120686Z     new_features = layer(features)
2025-08-14T21:35:14.3120922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3121037Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3121286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3121471Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3121475Z 
2025-08-14T21:35:14.3121599Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3121815Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3121893Z     return mod(*inputs)
2025-08-14T21:35:14.3122132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3122207Z     features = self.features(x)
2025-08-14T21:35:14.3122453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3122530Z     new_features = layer(features)
2025-08-14T21:35:14.3122767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3122886Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3123137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3123329Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3123333Z 
2025-08-14T21:35:14.3123443Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3123657Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3123738Z     return mod(*inputs)
2025-08-14T21:35:14.3123977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3124062Z     features = self.features(x)
2025-08-14T21:35:14.3124300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3124379Z     new_features = layer(features)
2025-08-14T21:35:14.3124625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3124821Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3124828Z 
2025-08-14T21:35:14.3124942Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3125163Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3125232Z     return mod(*inputs)
2025-08-14T21:35:14.3125472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3125548Z     features = self.features(x)
2025-08-14T21:35:14.3125781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3125867Z     new_features = layer(features)
2025-08-14T21:35:14.3126101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3126248Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3126259Z 
2025-08-14T21:35:14.3126406Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3126620Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3126697Z     return mod(*inputs)
2025-08-14T21:35:14.3126932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3127006Z     features = self.features(x)
2025-08-14T21:35:14.3127249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3127323Z     new_features = layer(features)
2025-08-14T21:35:14.3127568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3127676Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3127923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.3128024Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.3128027Z 
2025-08-14T21:35:14.3128136Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3128348Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3128425Z     return mod(*inputs)
2025-08-14T21:35:14.3128661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3128745Z     features = self.features(x)
2025-08-14T21:35:14.3128980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3129056Z     new_features = layer(features)
2025-08-14T21:35:14.3129297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3129407Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3129655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3129843Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3129847Z 
2025-08-14T21:35:14.3129958Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3130177Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3130248Z     return mod(*inputs)
2025-08-14T21:35:14.3130485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3130566Z     features = self.features(x)
2025-08-14T21:35:14.3130802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3130887Z     new_features = layer(features)
2025-08-14T21:35:14.3131162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3131275Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3131527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3131708Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3131712Z 
2025-08-14T21:35:14.3131821Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3132041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3132112Z     return mod(*inputs)
2025-08-14T21:35:14.3132355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3132429Z     features = self.features(x)
2025-08-14T21:35:14.3132667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3132796Z     new_features = layer(features)
2025-08-14T21:35:14.3133034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3133186Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3133190Z 
2025-08-14T21:35:14.3133301Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3133515Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3133592Z     return mod(*inputs)
2025-08-14T21:35:14.3133828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3134011Z     features = self.features(x)
2025-08-14T21:35:14.3134272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3134349Z     new_features = layer(features)
2025-08-14T21:35:14.3134598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3134743Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3134748Z 
2025-08-14T21:35:14.3134857Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3135080Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3135150Z     return mod(*inputs)
2025-08-14T21:35:14.3135385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3135473Z     features = self.features(x)
2025-08-14T21:35:14.3135706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3135793Z     new_features = layer(features)
2025-08-14T21:35:14.3136033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3136145Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3136398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.3136492Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.3136496Z 
2025-08-14T21:35:14.3136616Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3136847Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3136917Z     return mod(*inputs)
2025-08-14T21:35:14.3137170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3137246Z     features = self.features(x)
2025-08-14T21:35:14.3137544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3137637Z     new_features = layer(features)
2025-08-14T21:35:14.3137870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3137987Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3138234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3138416Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3138419Z 
2025-08-14T21:35:14.3138539Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3138752Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3138828Z     return mod(*inputs)
2025-08-14T21:35:14.3139082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3139157Z     features = self.features(x)
2025-08-14T21:35:14.3139438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3139518Z     new_features = layer(features)
2025-08-14T21:35:14.3139768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3139887Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3140134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3140325Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3140329Z 
2025-08-14T21:35:14.3140440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3140655Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3140737Z     return mod(*inputs)
2025-08-14T21:35:14.3140977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3141053Z     features = self.features(x)
2025-08-14T21:35:14.3141311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3141387Z     new_features = layer(features)
2025-08-14T21:35:14.3141646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3141789Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3141793Z 
2025-08-14T21:35:14.3141905Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3142142Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3142212Z     return mod(*inputs)
2025-08-14T21:35:14.3142472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3142550Z     features = self.features(x)
2025-08-14T21:35:14.3142799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3142883Z     new_features = layer(features)
2025-08-14T21:35:14.3143133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3143275Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3143278Z 
2025-08-14T21:35:14.3143398Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3143626Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3143703Z     return mod(*inputs)
2025-08-14T21:35:14.3143991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3144069Z     features = self.features(x)
2025-08-14T21:35:14.3144324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3144400Z     new_features = layer(features)
2025-08-14T21:35:14.3144656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3144772Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3145025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:35:14.3145124Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:35:14.3145128Z 
2025-08-14T21:35:14.3145238Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3145471Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3145550Z     return mod(*inputs)
2025-08-14T21:35:14.3145813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3145938Z     features = self.features(x)
2025-08-14T21:35:14.3146181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3146259Z     new_features = layer(features)
2025-08-14T21:35:14.3146509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3146620Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3146874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3147068Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3147071Z 
2025-08-14T21:35:14.3147183Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3147413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3147487Z     return mod(*inputs)
2025-08-14T21:35:14.3147730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3147814Z     features = self.features(x)
2025-08-14T21:35:14.3148053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3148132Z     new_features = layer(features)
2025-08-14T21:35:14.3148384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:35:14.3148492Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:35:14.3148756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:35:14.3148944Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:35:14.3148950Z 
2025-08-14T21:35:14.3149062Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3149291Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3149363Z     return mod(*inputs)
2025-08-14T21:35:14.3149614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3149689Z     features = self.features(x)
2025-08-14T21:35:14.3149932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3150017Z     new_features = layer(features)
2025-08-14T21:35:14.3150261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3150407Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3150419Z 
2025-08-14T21:35:14.3150588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3150809Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3150887Z     return mod(*inputs)
2025-08-14T21:35:14.3151122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3151197Z     features = self.features(x)
2025-08-14T21:35:14.3151440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:35:14.3151516Z     new_features = layer(features)
2025-08-14T21:35:14.3151759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:35:14.3151902Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:35:14.3151906Z 
2025-08-14T21:35:14.3151994Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.3152091Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.3152256Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.3152338Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.3152430Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.3152512Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.3152592Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.3152712Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3152924Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3153002Z     return mod(*inputs)
2025-08-14T21:35:14.3153236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:35:14.3153313Z     features = self.features(x)
2025-08-14T21:35:14.3153553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-08-14T21:35:14.3153636Z     return torch.cat(features, 1)
2025-08-14T21:35:14.3153642Z 
2025-08-14T21:35:14.3153726Z cudagraph partition due to non gpu ops
2025-08-14T21:35:14.3153844Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3154054Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3154131Z     return mod(*inputs)
2025-08-14T21:35:14.3154365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 215, in forward
2025-08-14T21:35:14.3154458Z     out = F.adaptive_avg_pool2d(out, (1, 1))
2025-08-14T21:35:14.3154462Z 
2025-08-14T21:35:14.3154581Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:14.3154790Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:14.3154868Z     return mod(*inputs)
2025-08-14T21:35:14.3155108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 217, in forward
2025-08-14T21:35:14.3155190Z     out = self.classifier(out)
2025-08-14T21:35:14.3155197Z 
2025-08-14T21:35:32.1281901Z Compilation time (from dynamo_timed): 54.826348983
2025-08-14T21:35:32.1282861Z pass
2025-08-14T21:35:32.1285768Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:35:32.1286679Z TIMING: _recursive_pre_grad_passes:0.01447 _recursive_joint_graph_passes:0.2701 _recursive_post_grad_passes:0.28481 async_compile.wait:0.61418 code_gen:17.92071 inductor_compile:24.46645 backend_compile:43.11383 gc:0.00027 entire_frame_compile:54.82635 total_wall_time:54.82635
2025-08-14T21:35:32.1287992Z STATS: call_* op count: 431 | FakeTensorMode.__torch_dispatch__:29148 | attempt fast:405 | fast is_contiguous:405 | FakeTensor.__torch_dispatch__:15480 | ProxyTorchDispatchMode.__torch_dispatch__:10672
2025-08-14T21:35:32.1288714Z Dynamo produced 1 graphs covering 431 ops with 0 graph breaks (0 unique)
2025-08-14T21:35:39.3303939Z 
2025-08-14T21:35:39.5654499Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc'
2025-08-14T21:35:39.5655190Z   what():  std::bad_alloc
2025-08-14T21:37:58.0119213Z Run failed with return code:  -6
2025-08-14T21:37:58.0119509Z Output:  None
2025-08-14T21:37:58.0119710Z Error:  None
2025-08-14T21:38:00.8158309Z 
2025-08-14T21:38:01.0483646Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc'
2025-08-14T21:38:01.0484051Z   what():  std::bad_alloc
2025-08-14T21:40:23.5280974Z Run failed with return code:  -6
2025-08-14T21:40:23.5281282Z Output:  None
2025-08-14T21:40:23.5281454Z Error:  None
2025-08-14T21:40:26.3236193Z 
2025-08-14T21:40:26.5519667Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-14T21:40:26.5520107Z   what():  std::bad_array_new_length
2025-08-14T21:42:48.6617069Z Run failed with return code:  -6
2025-08-14T21:42:48.6617387Z Output:  None
2025-08-14T21:42:48.6617598Z Error:  None
2025-08-14T21:42:51.3943107Z 
2025-08-14T21:42:51.6241138Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-14T21:42:51.6241584Z   what():  std::bad_array_new_length
2025-08-14T21:45:11.9677356Z Run failed with return code:  -6
2025-08-14T21:45:11.9677661Z Output:  None
2025-08-14T21:45:11.9677832Z Error:  None
2025-08-14T21:45:14.5904629Z 
2025-08-14T21:45:14.8053181Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-14T21:45:14.8053909Z   what():  std::bad_array_new_length
2025-08-14T21:47:29.2369320Z Run failed with return code:  -6
2025-08-14T21:47:29.2369623Z Output:  None
2025-08-14T21:47:29.2369805Z Error:  None
2025-08-14T21:47:31.7359696Z 
2025-08-14T21:47:31.9398548Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-14T21:47:31.9400731Z   what():  std::bad_array_new_length
2025-08-14T21:49:39.6855275Z Run failed with return code:  -6
2025-08-14T21:49:39.6855615Z Output:  None
2025-08-14T21:49:39.6855790Z Error:  None
2025-08-14T21:49:42.0605511Z 
2025-08-14T21:49:42.2634363Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc'
2025-08-14T21:49:42.2635516Z   what():  std::bad_alloc
2025-08-14T21:51:47.6356850Z Run failed with return code:  -6
2025-08-14T21:51:47.6357146Z Output:  None
2025-08-14T21:51:47.6357325Z Error:  None
2025-08-14T21:51:50.0282324Z 
2025-08-14T21:51:50.2315218Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc'
2025-08-14T21:51:50.2321196Z   what():  std::bad_alloc
2025-08-14T21:53:58.8036223Z Run failed with return code:  -6
2025-08-14T21:53:58.8036699Z Output:  None
2025-08-14T21:53:58.8036999Z Error:  None
2025-08-14T21:54:01.2102228Z 
2025-08-14T21:54:01.4127427Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc'
2025-08-14T21:54:01.4127867Z   what():  std::bad_alloc
2025-08-14T21:56:09.8037152Z Run failed with return code:  -6
2025-08-14T21:56:09.8037480Z Output:  None
2025-08-14T21:56:09.8037686Z Error:  None
2025-08-14T21:56:12.3477835Z 
2025-08-14T21:56:12.5645373Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-14T21:56:12.5645883Z   what():  std::bad_array_new_length
2025-08-14T21:58:18.7966544Z Run failed with return code:  -6
2025-08-14T21:58:18.7966836Z Output:  None
2025-08-14T21:58:18.7967013Z Error:  None
2025-08-14T21:58:21.2176845Z 
2025-08-14T21:58:21.4172053Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc'
2025-08-14T21:58:21.4172452Z   what():  std::bad_alloc
2025-08-14T22:00:27.9242753Z Run failed with return code:  -6
2025-08-14T22:00:27.9243303Z Output:  None
2025-08-14T22:00:27.9244501Z Error:  None
2025-08-14T22:00:30.4700001Z 
2025-08-14T22:00:36.3728367Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:00:36.9020994Z loading model: 0it [00:05, ?it/s]
2025-08-14T22:00:36.9021383Z cpu  eval  dlrm                               
2025-08-14T22:00:36.9021797Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:00:37.0797837Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:00:37.2568943Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:00:39.8865028Z cudagraph partition due to non gpu ops
2025-08-14T22:00:39.8869356Z cudagraph partition due to non gpu ops
2025-08-14T22:00:39.8874057Z cudagraph partition due to non gpu ops
2025-08-14T22:00:39.8876055Z cudagraph partition due to non gpu ops
2025-08-14T22:00:39.8876479Z cudagraph partition due to non gpu ops
2025-08-14T22:00:39.8876784Z cudagraph partition due to non gpu ops
2025-08-14T22:00:39.8877076Z cudagraph partition due to non gpu ops
2025-08-14T22:00:39.8877346Z cudagraph partition due to non gpu ops
2025-08-14T22:00:39.8878229Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8878776Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8879112Z     return mod(*inputs)
2025-08-14T22:00:39.8879902Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8880317Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8880690Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-08-14T22:00:39.8881042Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-08-14T22:00:39.8881366Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-14T22:00:39.8881666Z     return layers(x)
2025-08-14T22:00:39.8881770Z 
2025-08-14T22:00:39.8881883Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8882250Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8882580Z     return mod(*inputs)
2025-08-14T22:00:39.8882852Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8883173Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8883511Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-14T22:00:39.8883850Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-14T22:00:39.8884162Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-14T22:00:39.8884493Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-14T22:00:39.8884660Z 
2025-08-14T22:00:39.8884762Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8885107Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8885422Z     return mod(*inputs)
2025-08-14T22:00:39.8885683Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8886000Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8886344Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-14T22:00:39.8886666Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-14T22:00:39.8886981Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-14T22:00:39.8887324Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-14T22:00:39.8887485Z 
2025-08-14T22:00:39.8887594Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8887939Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8888255Z     return mod(*inputs)
2025-08-14T22:00:39.8888790Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8889128Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8889477Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-14T22:00:39.8890017Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-14T22:00:39.8890438Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-14T22:00:39.8890807Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-14T22:00:39.8890990Z 
2025-08-14T22:00:39.8891102Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8891488Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8891838Z     return mod(*inputs)
2025-08-14T22:00:39.8892099Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8892428Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8892777Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-14T22:00:39.8893161Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-14T22:00:39.8893472Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-14T22:00:39.8893810Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-14T22:00:39.8893967Z 
2025-08-14T22:00:39.8894077Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8894423Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8894745Z     return mod(*inputs)
2025-08-14T22:00:39.8895015Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8895333Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8895688Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-14T22:00:39.8896053Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-14T22:00:39.8896375Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-14T22:00:39.8896711Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-14T22:00:39.8896869Z 
2025-08-14T22:00:39.8896977Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8897323Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8897644Z     return mod(*inputs)
2025-08-14T22:00:39.8897915Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8898233Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8898580Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-14T22:00:39.8898912Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-14T22:00:39.8899225Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-14T22:00:39.8899557Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-14T22:00:39.8899721Z 
2025-08-14T22:00:39.8899821Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8900176Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8900486Z     return mod(*inputs)
2025-08-14T22:00:39.8900755Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8901081Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8901427Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-14T22:00:39.8901752Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-14T22:00:39.8902072Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-14T22:00:39.8902445Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-14T22:00:39.8902609Z 
2025-08-14T22:00:39.8902708Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8903053Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8903361Z     return mod(*inputs)
2025-08-14T22:00:39.8903628Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8903940Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8904280Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-14T22:00:39.8904604Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-14T22:00:39.8904900Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-14T22:00:39.8905230Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-14T22:00:39.8905393Z 
2025-08-14T22:00:39.8905495Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8905872Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8906179Z     return mod(*inputs)
2025-08-14T22:00:39.8906443Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8906759Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8907174Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-08-14T22:00:39.8907518Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-08-14T22:00:39.8907827Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-14T22:00:39.8908123Z     return layers(x)
2025-08-14T22:00:39.8908223Z 
2025-08-14T22:00:39.8908324Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8908676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8909039Z     return mod(*inputs)
2025-08-14T22:00:39.8909302Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8909629Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8909974Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-08-14T22:00:39.8910305Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-08-14T22:00:39.8910609Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-14T22:00:39.8910904Z     return layers(x)
2025-08-14T22:00:39.8911002Z 
2025-08-14T22:00:39.8911091Z cudagraph partition due to non gpu ops
2025-08-14T22:00:39.8911298Z cudagraph partition due to non gpu ops
2025-08-14T22:00:39.8911508Z cudagraph partition due to non gpu ops
2025-08-14T22:00:39.8911711Z cudagraph partition due to non gpu ops
2025-08-14T22:00:39.8911916Z cudagraph partition due to non gpu ops
2025-08-14T22:00:39.8912109Z cudagraph partition due to non gpu ops
2025-08-14T22:00:39.8912312Z cudagraph partition due to non gpu ops
2025-08-14T22:00:39.8912510Z cudagraph partition due to non gpu ops
2025-08-14T22:00:39.8912727Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8913078Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8913391Z     return mod(*inputs)
2025-08-14T22:00:39.8913652Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8913975Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8914321Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-08-14T22:00:39.8914644Z     z = self.interact_features(x, ly)
2025-08-14T22:00:39.8914955Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 318, in interact_features
2025-08-14T22:00:39.8915390Z     T = torch.cat([x] + ly, dim=1).view((batch_size, -1, d))
2025-08-14T22:00:39.8915552Z 
2025-08-14T22:00:39.8915659Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8915993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8916300Z     return mod(*inputs)
2025-08-14T22:00:39.8916564Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8916883Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8917215Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-08-14T22:00:39.8917549Z     z = self.interact_features(x, ly)
2025-08-14T22:00:39.8917869Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 320, in interact_features
2025-08-14T22:00:39.8918196Z     Z = torch.bmm(T, torch.transpose(T, 1, 2))
2025-08-14T22:00:39.8918340Z 
2025-08-14T22:00:39.8918441Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8918811Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8919123Z     return mod(*inputs)
2025-08-14T22:00:39.8919379Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8919699Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8920041Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-08-14T22:00:39.8920364Z     z = self.interact_features(x, ly)
2025-08-14T22:00:39.8920669Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 337, in interact_features
2025-08-14T22:00:39.8920968Z     Zflat = Z[:, li, lj]
2025-08-14T22:00:39.8921072Z 
2025-08-14T22:00:39.8921173Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8921496Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8921802Z     return mod(*inputs)
2025-08-14T22:00:39.8922068Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8922415Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8922747Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-08-14T22:00:39.8923066Z     z = self.interact_features(x, ly)
2025-08-14T22:00:39.8923378Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 339, in interact_features
2025-08-14T22:00:39.8923696Z     R = torch.cat([x] + [Zflat], dim=1)
2025-08-14T22:00:39.8923820Z 
2025-08-14T22:00:39.8923919Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8924262Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8924572Z     return mod(*inputs)
2025-08-14T22:00:39.8924837Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8925155Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8925495Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-14T22:00:39.8925814Z     p = self.apply_mlp(z, self.top_l)
2025-08-14T22:00:39.8926102Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-14T22:00:39.8926394Z     return layers(x)
2025-08-14T22:00:39.8926490Z 
2025-08-14T22:00:39.8926597Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8926942Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8927257Z     return mod(*inputs)
2025-08-14T22:00:39.8927528Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8927871Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8928277Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-14T22:00:39.8928665Z     p = self.apply_mlp(z, self.top_l)
2025-08-14T22:00:39.8929024Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-14T22:00:39.8929367Z     return layers(x)
2025-08-14T22:00:39.8929486Z 
2025-08-14T22:00:39.8929602Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8930152Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8930535Z     return mod(*inputs)
2025-08-14T22:00:39.8930833Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8931212Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8931586Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-14T22:00:39.8931930Z     p = self.apply_mlp(z, self.top_l)
2025-08-14T22:00:39.8932252Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-14T22:00:39.8932599Z     return layers(x)
2025-08-14T22:00:39.8932697Z 
2025-08-14T22:00:39.8932807Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8933183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8933565Z     return mod(*inputs)
2025-08-14T22:00:39.8933859Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8934207Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8934584Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-14T22:00:39.8934944Z     p = self.apply_mlp(z, self.top_l)
2025-08-14T22:00:39.8935255Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-14T22:00:39.8935558Z     return layers(x)
2025-08-14T22:00:39.8935666Z 
2025-08-14T22:00:39.8935771Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8936147Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8936490Z     return mod(*inputs)
2025-08-14T22:00:39.8936783Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8937147Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8937525Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-14T22:00:39.8937882Z     p = self.apply_mlp(z, self.top_l)
2025-08-14T22:00:39.8938204Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-14T22:00:39.8938515Z     return layers(x)
2025-08-14T22:00:39.8938612Z 
2025-08-14T22:00:39.8938716Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8939079Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8939411Z     return mod(*inputs)
2025-08-14T22:00:39.8939689Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8940042Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8940422Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-14T22:00:39.8940779Z     p = self.apply_mlp(z, self.top_l)
2025-08-14T22:00:39.8941101Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-14T22:00:39.8941432Z     return layers(x)
2025-08-14T22:00:39.8941542Z 
2025-08-14T22:00:39.8941657Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8942053Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8942405Z     return mod(*inputs)
2025-08-14T22:00:39.8942741Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8943109Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8943491Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-14T22:00:39.8943862Z     p = self.apply_mlp(z, self.top_l)
2025-08-14T22:00:39.8944207Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-14T22:00:39.8944560Z     return layers(x)
2025-08-14T22:00:39.8944663Z 
2025-08-14T22:00:39.8944772Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:00:39.8945155Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:00:39.8945504Z     return mod(*inputs)
2025-08-14T22:00:39.8945783Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:00:39.8946143Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:00:39.8946523Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-14T22:00:39.8946914Z     p = self.apply_mlp(z, self.top_l)
2025-08-14T22:00:39.8947234Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-14T22:00:39.8947556Z     return layers(x)
2025-08-14T22:00:39.8947659Z 
2025-08-14T22:00:46.6485782Z Compilation time (from dynamo_timed): 8.214381285
2025-08-14T22:00:46.6486101Z pass
2025-08-14T22:00:46.6488196Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:00:46.6489069Z TIMING: _recursive_pre_grad_passes:0.00401 _recursive_joint_graph_passes:0.12378 _recursive_post_grad_passes:0.22673 async_compile.wait:0.55635 code_gen:6.58126 inductor_compile:6.93628 backend_compile:7.82402 gc:0.00109 entire_frame_compile:8.21438 total_wall_time:8.21438
2025-08-14T22:00:46.6490169Z STATS: call_* op count: 36 | FakeTensorMode.__torch_dispatch__:1827 | FakeTensor.__torch_dispatch__:383 | ProxyTorchDispatchMode.__torch_dispatch__:500
2025-08-14T22:00:46.6490711Z Dynamo produced 1 graphs covering 36 ops with 0 graph breaks (0 unique)
2025-08-14T22:00:50.4348457Z 
2025-08-14T22:00:51.4477483Z loading model: 0it [00:00, ?it/s]Downloading https://doctr-static.mindee.com/models?id=v0.7.0/db_resnet50-79bd7d70.pt&src=0 to /var/lib/jenkins/.cache/doctr/models/db_resnet50-79bd7d70.pt
2025-08-14T22:00:51.7869488Z 
2025-08-14T22:00:51.7873399Z 
2025-08-14T22:00:51.8874170Z   0% 0/102021912 [00:00<?, ?it/s]
2025-08-14T22:00:51.8874674Z 
2025-08-14T22:00:51.9875779Z  39% 39922688/102021912 [00:00<00:00, 399221549.82it/s]
2025-08-14T22:00:51.9876288Z 
2025-08-14T22:00:52.0348431Z  81% 82653184/102021912 [00:00<00:00, 415740179.16it/s]
2025-08-14T22:00:52.0350208Z 102022144it [00:00, 413231426.99it/s]                  
2025-08-14T22:00:53.2084945Z Downloading https://doctr-static.mindee.com/models?id=v0.3.1/crnn_vgg16_bn-9762b0b0.pt&src=0 to /var/lib/jenkins/.cache/doctr/models/crnn_vgg16_bn-9762b0b0.pt
2025-08-14T22:00:53.5250132Z 
2025-08-14T22:00:53.5250146Z 
2025-08-14T22:00:53.6255775Z   0% 0/63286381 [00:00<?, ?it/s]
2025-08-14T22:00:53.6256018Z 
2025-08-14T22:00:53.7017334Z  54% 34283520/63286381 [00:00<00:00, 342834709.57it/s]
2025-08-14T22:00:53.7017671Z 63287296it [00:00, 359388034.71it/s]                  
2025-08-14T22:00:56.3240146Z 
2025-08-14T22:00:56.3240922Z loading model: 0it [00:05, ?it/s]
2025-08-14T22:00:56.3259663Z cpu  eval  doctr_det_predictor                
2025-08-14T22:01:12.9082657Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:01:16.5609189Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:01:20.2698826Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:01:35.3884358Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3892205Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3893625Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3893961Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3894211Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3894517Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3894779Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3895093Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3895317Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3895536Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3900699Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3905159Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3909484Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3915102Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3916931Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3917186Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3917432Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3917974Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3918199Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3926003Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3928078Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3928662Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3929154Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3929398Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.3929673Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3930397Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3930920Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3938338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3942656Z     x = module(x)
2025-08-14T22:01:35.3944561Z 
2025-08-14T22:01:35.3944777Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3945348Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3945942Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3946330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3946708Z     x = module(x)
2025-08-14T22:01:35.3946811Z 
2025-08-14T22:01:35.3946929Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3947454Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3947944Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3948317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3948679Z     x = module(x)
2025-08-14T22:01:35.3948790Z 
2025-08-14T22:01:35.3948902Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3949395Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3949840Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3950178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3950515Z     x = module(x)
2025-08-14T22:01:35.3950842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-14T22:01:35.3951213Z     out = self.conv1(x)
2025-08-14T22:01:35.3951341Z 
2025-08-14T22:01:35.3951450Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3952124Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3952609Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3952964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3953365Z     x = module(x)
2025-08-14T22:01:35.3953710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:01:35.3954090Z     out = self.relu(out)
2025-08-14T22:01:35.3954205Z 
2025-08-14T22:01:35.3954312Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3954782Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3955285Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3955629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3955955Z     x = module(x)
2025-08-14T22:01:35.3956273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-14T22:01:35.3956687Z     out = self.conv2(out)
2025-08-14T22:01:35.3956800Z 
2025-08-14T22:01:35.3956902Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3957367Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3957803Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3958144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3958471Z     x = module(x)
2025-08-14T22:01:35.3958783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:01:35.3959134Z     out = self.relu(out)
2025-08-14T22:01:35.3959244Z 
2025-08-14T22:01:35.3959352Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3959822Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3960263Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3960597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3960924Z     x = module(x)
2025-08-14T22:01:35.3961235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-14T22:01:35.3961594Z     out = self.conv3(out)
2025-08-14T22:01:35.3961711Z 
2025-08-14T22:01:35.3961826Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3962530Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3962993Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3963456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3963809Z     x = module(x)
2025-08-14T22:01:35.3964140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-08-14T22:01:35.3964532Z     identity = self.downsample(x)
2025-08-14T22:01:35.3964669Z 
2025-08-14T22:01:35.3964785Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3965282Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3965759Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3966125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3966476Z     x = module(x)
2025-08-14T22:01:35.3966812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-14T22:01:35.3967323Z     out = self.conv1(x)
2025-08-14T22:01:35.3967442Z 
2025-08-14T22:01:35.3967560Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3968050Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3968518Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3968879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3969232Z     x = module(x)
2025-08-14T22:01:35.3969555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:01:35.3970064Z     out = self.relu(out)
2025-08-14T22:01:35.3970185Z 
2025-08-14T22:01:35.3970309Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3970820Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3971370Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3971735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3972092Z     x = module(x)
2025-08-14T22:01:35.3972414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-14T22:01:35.3972779Z     out = self.conv2(out)
2025-08-14T22:01:35.3972895Z 
2025-08-14T22:01:35.3973010Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3973499Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3973965Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3974324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3974677Z     x = module(x)
2025-08-14T22:01:35.3975002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:01:35.3975372Z     out = self.relu(out)
2025-08-14T22:01:35.3975484Z 
2025-08-14T22:01:35.3975598Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3976085Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3976551Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3976910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3977267Z     x = module(x)
2025-08-14T22:01:35.3977587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-14T22:01:35.3977953Z     out = self.conv3(out)
2025-08-14T22:01:35.3978067Z 
2025-08-14T22:01:35.3978185Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3978679Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3979145Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3979481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3979813Z     x = module(x)
2025-08-14T22:01:35.3980115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T22:01:35.3980459Z     out = self.relu(out)
2025-08-14T22:01:35.3980565Z 
2025-08-14T22:01:35.3980672Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3981141Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3981573Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3981948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3982286Z     x = module(x)
2025-08-14T22:01:35.3982590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-14T22:01:35.3982929Z     out = self.conv1(x)
2025-08-14T22:01:35.3983041Z 
2025-08-14T22:01:35.3983143Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3983609Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3984038Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3984372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3984705Z     x = module(x)
2025-08-14T22:01:35.3985006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:01:35.3985350Z     out = self.relu(out)
2025-08-14T22:01:35.3985500Z 
2025-08-14T22:01:35.3985602Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3986079Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3986516Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3986857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3987193Z     x = module(x)
2025-08-14T22:01:35.3987505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-14T22:01:35.3987843Z     out = self.conv2(out)
2025-08-14T22:01:35.3987959Z 
2025-08-14T22:01:35.3988061Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3988547Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3989012Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3989379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3989741Z     x = module(x)
2025-08-14T22:01:35.3990065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:01:35.3990473Z     out = self.relu(out)
2025-08-14T22:01:35.3990586Z 
2025-08-14T22:01:35.3990687Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3991154Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3991587Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3991931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3992269Z     x = module(x)
2025-08-14T22:01:35.3992583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-14T22:01:35.3992927Z     out = self.conv3(out)
2025-08-14T22:01:35.3993043Z 
2025-08-14T22:01:35.3993143Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3993610Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3994054Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3994390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3994729Z     x = module(x)
2025-08-14T22:01:35.3995040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T22:01:35.3995378Z     out = self.relu(out)
2025-08-14T22:01:35.3995489Z 
2025-08-14T22:01:35.3995625Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3996090Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3996526Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3996857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3997189Z     x = module(x)
2025-08-14T22:01:35.3997496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-14T22:01:35.3997839Z     out = self.conv1(x)
2025-08-14T22:01:35.3997951Z 
2025-08-14T22:01:35.3998053Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.3998516Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.3998954Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.3999287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.3999683Z     x = module(x)
2025-08-14T22:01:35.3999993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:01:35.4000333Z     out = self.relu(out)
2025-08-14T22:01:35.4000447Z 
2025-08-14T22:01:35.4000549Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4001017Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4001459Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4001793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4002139Z     x = module(x)
2025-08-14T22:01:35.4002452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-14T22:01:35.4002811Z     out = self.conv2(out)
2025-08-14T22:01:35.4002924Z 
2025-08-14T22:01:35.4003026Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4003497Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4003940Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4004274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4004617Z     x = module(x)
2025-08-14T22:01:35.4004930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:01:35.4005277Z     out = self.relu(out)
2025-08-14T22:01:35.4005382Z 
2025-08-14T22:01:35.4005483Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4005964Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4006408Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4006740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4007089Z     x = module(x)
2025-08-14T22:01:35.4007417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-14T22:01:35.4007784Z     out = self.conv3(out)
2025-08-14T22:01:35.4007899Z 
2025-08-14T22:01:35.4008007Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4008507Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4008976Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4009336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4009688Z     x = module(x)
2025-08-14T22:01:35.4010139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-08-14T22:01:35.4010542Z     identity = self.downsample(x)
2025-08-14T22:01:35.4010687Z 
2025-08-14T22:01:35.4010806Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4011328Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4011800Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4012171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4012526Z     x = module(x)
2025-08-14T22:01:35.4012865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-14T22:01:35.4013239Z     out = self.conv1(x)
2025-08-14T22:01:35.4013353Z 
2025-08-14T22:01:35.4013470Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4013979Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4014477Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4014828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4015168Z     x = module(x)
2025-08-14T22:01:35.4015494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:01:35.4015855Z     out = self.relu(out)
2025-08-14T22:01:35.4015967Z 
2025-08-14T22:01:35.4016073Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4016563Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4017020Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4017378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4017727Z     x = module(x)
2025-08-14T22:01:35.4018034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-14T22:01:35.4018381Z     out = self.conv2(out)
2025-08-14T22:01:35.4018490Z 
2025-08-14T22:01:35.4018599Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4019059Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4019495Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4019836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4020161Z     x = module(x)
2025-08-14T22:01:35.4020469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:01:35.4020812Z     out = self.relu(out)
2025-08-14T22:01:35.4020923Z 
2025-08-14T22:01:35.4021033Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4021506Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4021945Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4022285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4022608Z     x = module(x)
2025-08-14T22:01:35.4022918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-14T22:01:35.4023260Z     out = self.conv3(out)
2025-08-14T22:01:35.4023369Z 
2025-08-14T22:01:35.4023479Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4023978Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4024431Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4024772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4025105Z     x = module(x)
2025-08-14T22:01:35.4025407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T22:01:35.4025746Z     out = self.relu(out)
2025-08-14T22:01:35.4025851Z 
2025-08-14T22:01:35.4025962Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4026421Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4026861Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4027202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4027535Z     x = module(x)
2025-08-14T22:01:35.4027838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-14T22:01:35.4028217Z     out = self.conv1(x)
2025-08-14T22:01:35.4028325Z 
2025-08-14T22:01:35.4028440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4028919Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4029380Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4029733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4030062Z     x = module(x)
2025-08-14T22:01:35.4030361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:01:35.4030696Z     out = self.relu(out)
2025-08-14T22:01:35.4030801Z 
2025-08-14T22:01:35.4030911Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4031365Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4031802Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4032137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4032461Z     x = module(x)
2025-08-14T22:01:35.4032760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-14T22:01:35.4033102Z     out = self.conv2(out)
2025-08-14T22:01:35.4033208Z 
2025-08-14T22:01:35.4033319Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4033779Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4034211Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4034548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4034884Z     x = module(x)
2025-08-14T22:01:35.4035184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:01:35.4035523Z     out = self.relu(out)
2025-08-14T22:01:35.4035627Z 
2025-08-14T22:01:35.4035739Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4036203Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4036632Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4036969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4037303Z     x = module(x)
2025-08-14T22:01:35.4037601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-14T22:01:35.4037996Z     out = self.conv3(out)
2025-08-14T22:01:35.4038117Z 
2025-08-14T22:01:35.4038218Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4038686Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4039117Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4039451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4039785Z     x = module(x)
2025-08-14T22:01:35.4040083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T22:01:35.4040422Z     out = self.relu(out)
2025-08-14T22:01:35.4040537Z 
2025-08-14T22:01:35.4040638Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4041110Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4041585Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4041928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4042266Z     x = module(x)
2025-08-14T22:01:35.4042579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-14T22:01:35.4042917Z     out = self.conv1(x)
2025-08-14T22:01:35.4043026Z 
2025-08-14T22:01:35.4043127Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4043596Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4044032Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4044377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4044717Z     x = module(x)
2025-08-14T22:01:35.4045031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:01:35.4045373Z     out = self.relu(out)
2025-08-14T22:01:35.4045484Z 
2025-08-14T22:01:35.4045586Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4046074Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4046515Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4046856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4047198Z     x = module(x)
2025-08-14T22:01:35.4047511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-14T22:01:35.4047855Z     out = self.conv2(out)
2025-08-14T22:01:35.4047972Z 
2025-08-14T22:01:35.4048077Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4048555Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4049002Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4049335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4049714Z     x = module(x)
2025-08-14T22:01:35.4050133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:01:35.4050500Z     out = self.relu(out)
2025-08-14T22:01:35.4050623Z 
2025-08-14T22:01:35.4050732Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4051241Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4051684Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4052155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4052513Z     x = module(x)
2025-08-14T22:01:35.4052841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-14T22:01:35.4053197Z     out = self.conv3(out)
2025-08-14T22:01:35.4053323Z 
2025-08-14T22:01:35.4053434Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4053929Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4054394Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4054743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4055097Z     x = module(x)
2025-08-14T22:01:35.4055424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T22:01:35.4055782Z     out = self.relu(out)
2025-08-14T22:01:35.4055943Z 
2025-08-14T22:01:35.4056050Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4056537Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4056992Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4057339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4057689Z     x = module(x)
2025-08-14T22:01:35.4058021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-14T22:01:35.4058380Z     out = self.conv1(x)
2025-08-14T22:01:35.4058491Z 
2025-08-14T22:01:35.4058600Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4059096Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4059560Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4059905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4060256Z     x = module(x)
2025-08-14T22:01:35.4060582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:01:35.4060939Z     out = self.relu(out)
2025-08-14T22:01:35.4061050Z 
2025-08-14T22:01:35.4061157Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4061649Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4062292Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4062626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4062955Z     x = module(x)
2025-08-14T22:01:35.4063262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-14T22:01:35.4063602Z     out = self.conv2(out)
2025-08-14T22:01:35.4063710Z 
2025-08-14T22:01:35.4063811Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4064276Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4064706Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4065035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4065352Z     x = module(x)
2025-08-14T22:01:35.4065657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:01:35.4065988Z     out = self.relu(out)
2025-08-14T22:01:35.4066091Z 
2025-08-14T22:01:35.4067097Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4067575Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4068009Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4068343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4068663Z     x = module(x)
2025-08-14T22:01:35.4068968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-14T22:01:35.4069315Z     out = self.conv3(out)
2025-08-14T22:01:35.4069422Z 
2025-08-14T22:01:35.4069522Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4069976Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4070403Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4070734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4071106Z     x = module(x)
2025-08-14T22:01:35.4071411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-08-14T22:01:35.4071759Z     identity = self.downsample(x)
2025-08-14T22:01:35.4071885Z 
2025-08-14T22:01:35.4071986Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4072445Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4072871Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4073203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4073516Z     x = module(x)
2025-08-14T22:01:35.4073947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-14T22:01:35.4074280Z     out = self.conv1(x)
2025-08-14T22:01:35.4074383Z 
2025-08-14T22:01:35.4074489Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4074934Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4075360Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4075691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4076009Z     x = module(x)
2025-08-14T22:01:35.4076315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:01:35.4076655Z     out = self.relu(out)
2025-08-14T22:01:35.4076755Z 
2025-08-14T22:01:35.4076860Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4077298Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4077718Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4078044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4078363Z     x = module(x)
2025-08-14T22:01:35.4078649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-14T22:01:35.4078976Z     out = self.conv2(out)
2025-08-14T22:01:35.4079080Z 
2025-08-14T22:01:35.4079186Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4079624Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4080044Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4080367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4080720Z     x = module(x)
2025-08-14T22:01:35.4081011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:01:35.4081335Z     out = self.relu(out)
2025-08-14T22:01:35.4081435Z 
2025-08-14T22:01:35.4081539Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4081977Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4082391Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4082709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4083020Z     x = module(x)
2025-08-14T22:01:35.4083305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-14T22:01:35.4083632Z     out = self.conv3(out)
2025-08-14T22:01:35.4083736Z 
2025-08-14T22:01:35.4083842Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4084271Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4084719Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4085041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4085354Z     x = module(x)
2025-08-14T22:01:35.4085639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T22:01:35.4085982Z     out = self.relu(out)
2025-08-14T22:01:35.4086085Z 
2025-08-14T22:01:35.4086192Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4086648Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4087059Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4087386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4087710Z     x = module(x)
2025-08-14T22:01:35.4088003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-14T22:01:35.4088347Z     out = self.conv1(x)
2025-08-14T22:01:35.4088455Z 
2025-08-14T22:01:35.4088555Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4089010Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4089429Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4089760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4090159Z     x = module(x)
2025-08-14T22:01:35.4090459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:01:35.4090828Z     out = self.relu(out)
2025-08-14T22:01:35.4090952Z 
2025-08-14T22:01:35.4091063Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4091562Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4092012Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4092350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4092682Z     x = module(x)
2025-08-14T22:01:35.4092980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-14T22:01:35.4093321Z     out = self.conv2(out)
2025-08-14T22:01:35.4093437Z 
2025-08-14T22:01:35.4093540Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4094041Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4094463Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4094792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4095114Z     x = module(x)
2025-08-14T22:01:35.4095412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:01:35.4095737Z     out = self.relu(out)
2025-08-14T22:01:35.4095847Z 
2025-08-14T22:01:35.4095947Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4096400Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4096815Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4097146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4097479Z     x = module(x)
2025-08-14T22:01:35.4097776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-14T22:01:35.4098145Z     out = self.conv3(out)
2025-08-14T22:01:35.4098259Z 
2025-08-14T22:01:35.4098359Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4098817Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4099246Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4099570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4099898Z     x = module(x)
2025-08-14T22:01:35.4100200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T22:01:35.4100527Z     out = self.relu(out)
2025-08-14T22:01:35.4100639Z 
2025-08-14T22:01:35.4100742Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4101197Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4101634Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4101957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4102285Z     x = module(x)
2025-08-14T22:01:35.4102585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-14T22:01:35.4102909Z     out = self.conv1(x)
2025-08-14T22:01:35.4103018Z 
2025-08-14T22:01:35.4103120Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4103581Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4104011Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4104340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4104673Z     x = module(x)
2025-08-14T22:01:35.4104975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:01:35.4105302Z     out = self.relu(out)
2025-08-14T22:01:35.4105414Z 
2025-08-14T22:01:35.4105512Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4105973Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4106405Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4106730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4107062Z     x = module(x)
2025-08-14T22:01:35.4107365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-14T22:01:35.4107754Z     out = self.conv2(out)
2025-08-14T22:01:35.4107870Z 
2025-08-14T22:01:35.4107967Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4108415Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4108841Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4109165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4109497Z     x = module(x)
2025-08-14T22:01:35.4109800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:01:35.4110146Z     out = self.relu(out)
2025-08-14T22:01:35.4110248Z 
2025-08-14T22:01:35.4110345Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4110798Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4111255Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4111572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4111891Z     x = module(x)
2025-08-14T22:01:35.4112186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-14T22:01:35.4112511Z     out = self.conv3(out)
2025-08-14T22:01:35.4112614Z 
2025-08-14T22:01:35.4112711Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4113153Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4113567Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4113886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4114203Z     x = module(x)
2025-08-14T22:01:35.4114497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T22:01:35.4114828Z     out = self.relu(out)
2025-08-14T22:01:35.4114929Z 
2025-08-14T22:01:35.4115025Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4115475Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4115893Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4116219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4116528Z     x = module(x)
2025-08-14T22:01:35.4116824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-14T22:01:35.4117147Z     out = self.conv1(x)
2025-08-14T22:01:35.4117393Z 
2025-08-14T22:01:35.4117503Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4117953Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4118368Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4118694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4119005Z     x = module(x)
2025-08-14T22:01:35.4119300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:01:35.4119629Z     out = self.relu(out)
2025-08-14T22:01:35.4119730Z 
2025-08-14T22:01:35.4119829Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4120278Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4120700Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4121069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4121386Z     x = module(x)
2025-08-14T22:01:35.4121678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-14T22:01:35.4122004Z     out = self.conv2(out)
2025-08-14T22:01:35.4122110Z 
2025-08-14T22:01:35.4122207Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4122655Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4123072Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4123396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4123703Z     x = module(x)
2025-08-14T22:01:35.4124005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:01:35.4124341Z     out = self.relu(out)
2025-08-14T22:01:35.4124486Z 
2025-08-14T22:01:35.4124595Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4125043Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4125468Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4125816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4126138Z     x = module(x)
2025-08-14T22:01:35.4126440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-14T22:01:35.4126775Z     out = self.conv3(out)
2025-08-14T22:01:35.4126882Z 
2025-08-14T22:01:35.4126988Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4127439Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4127868Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4128194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4128513Z     x = module(x)
2025-08-14T22:01:35.4128821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T22:01:35.4129163Z     out = self.relu(out)
2025-08-14T22:01:35.4129268Z 
2025-08-14T22:01:35.4129378Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4129840Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4130353Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4130716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4131078Z     x = module(x)
2025-08-14T22:01:35.4131398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-14T22:01:35.4131767Z     out = self.conv1(x)
2025-08-14T22:01:35.4131876Z 
2025-08-14T22:01:35.4131998Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4132475Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4132915Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4133259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4133601Z     x = module(x)
2025-08-14T22:01:35.4133897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:01:35.4134234Z     out = self.relu(out)
2025-08-14T22:01:35.4134337Z 
2025-08-14T22:01:35.4134491Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4134942Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4135384Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4135722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4136063Z     x = module(x)
2025-08-14T22:01:35.4136367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-14T22:01:35.4136721Z     out = self.conv2(out)
2025-08-14T22:01:35.4136826Z 
2025-08-14T22:01:35.4136934Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4137383Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4137820Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4138150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4138512Z     x = module(x)
2025-08-14T22:01:35.4138803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:01:35.4139140Z     out = self.relu(out)
2025-08-14T22:01:35.4139244Z 
2025-08-14T22:01:35.4139352Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4139811Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4140230Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4140560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4140889Z     x = module(x)
2025-08-14T22:01:35.4141182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-14T22:01:35.4141520Z     out = self.conv3(out)
2025-08-14T22:01:35.4141634Z 
2025-08-14T22:01:35.4141734Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4142193Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4142610Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4142937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4143264Z     x = module(x)
2025-08-14T22:01:35.4143559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T22:01:35.4143891Z     out = self.relu(out)
2025-08-14T22:01:35.4144000Z 
2025-08-14T22:01:35.4144099Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4144552Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4144970Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4145296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4145620Z     x = module(x)
2025-08-14T22:01:35.4145923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-14T22:01:35.4146239Z     out = self.conv1(x)
2025-08-14T22:01:35.4146343Z 
2025-08-14T22:01:35.4146439Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4146882Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4147292Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4147612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4147924Z     x = module(x)
2025-08-14T22:01:35.4148256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:01:35.4148581Z     out = self.relu(out)
2025-08-14T22:01:35.4148693Z 
2025-08-14T22:01:35.4148794Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4149247Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4149657Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4149985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4150307Z     x = module(x)
2025-08-14T22:01:35.4150607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-14T22:01:35.4150932Z     out = self.conv2(out)
2025-08-14T22:01:35.4151044Z 
2025-08-14T22:01:35.4151146Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4151596Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4152065Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4152379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4152702Z     x = module(x)
2025-08-14T22:01:35.4152994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:01:35.4153317Z     out = self.relu(out)
2025-08-14T22:01:35.4153428Z 
2025-08-14T22:01:35.4153525Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4153969Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4154384Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4154704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4155024Z     x = module(x)
2025-08-14T22:01:35.4155318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-14T22:01:35.4155637Z     out = self.conv3(out)
2025-08-14T22:01:35.4155750Z 
2025-08-14T22:01:35.4155850Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4156294Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4156739Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4157051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4157364Z     x = module(x)
2025-08-14T22:01:35.4157656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-08-14T22:01:35.4157986Z     identity = self.downsample(x)
2025-08-14T22:01:35.4158119Z 
2025-08-14T22:01:35.4158218Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4158663Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4159081Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4159396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4159712Z     x = module(x)
2025-08-14T22:01:35.4160007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-14T22:01:35.4160329Z     out = self.conv1(x)
2025-08-14T22:01:35.4160427Z 
2025-08-14T22:01:35.4160525Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4161009Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4161429Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4161745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4162226Z     x = module(x)
2025-08-14T22:01:35.4162528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:01:35.4162853Z     out = self.relu(out)
2025-08-14T22:01:35.4162954Z 
2025-08-14T22:01:35.4163052Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4163494Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4163910Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4164227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4164548Z     x = module(x)
2025-08-14T22:01:35.4164844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-14T22:01:35.4165252Z     out = self.conv2(out)
2025-08-14T22:01:35.4165356Z 
2025-08-14T22:01:35.4165455Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4165912Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4166338Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4166664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4166978Z     x = module(x)
2025-08-14T22:01:35.4167276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:01:35.4167610Z     out = self.relu(out)
2025-08-14T22:01:35.4167713Z 
2025-08-14T22:01:35.4167814Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4168278Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4168721Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4169056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4169376Z     x = module(x)
2025-08-14T22:01:35.4169681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-14T22:01:35.4170078Z     out = self.conv3(out)
2025-08-14T22:01:35.4170192Z 
2025-08-14T22:01:35.4170302Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4170800Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4171267Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4171622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4171952Z     x = module(x)
2025-08-14T22:01:35.4172250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T22:01:35.4172590Z     out = self.relu(out)
2025-08-14T22:01:35.4172704Z 
2025-08-14T22:01:35.4172816Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4173314Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4173786Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4174149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4174499Z     x = module(x)
2025-08-14T22:01:35.4174832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-14T22:01:35.4175277Z     out = self.conv1(x)
2025-08-14T22:01:35.4175392Z 
2025-08-14T22:01:35.4175509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4175993Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4176455Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4176812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4177162Z     x = module(x)
2025-08-14T22:01:35.4177490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:01:35.4177852Z     out = self.relu(out)
2025-08-14T22:01:35.4177963Z 
2025-08-14T22:01:35.4178078Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4178568Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4179082Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4179440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4179775Z     x = module(x)
2025-08-14T22:01:35.4180071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-14T22:01:35.4180402Z     out = self.conv2(out)
2025-08-14T22:01:35.4180505Z 
2025-08-14T22:01:35.4180609Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4181047Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4181467Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4181791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4182103Z     x = module(x)
2025-08-14T22:01:35.4182401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:01:35.4182736Z     out = self.relu(out)
2025-08-14T22:01:35.4182837Z 
2025-08-14T22:01:35.4182940Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4183386Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4183808Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4184138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4184458Z     x = module(x)
2025-08-14T22:01:35.4184747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-14T22:01:35.4185076Z     out = self.conv3(out)
2025-08-14T22:01:35.4185179Z 
2025-08-14T22:01:35.4185286Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4185725Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:01:35.4186154Z     feats = self.feat_extractor(x)
2025-08-14T22:01:35.4186477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:01:35.4186793Z     x = module(x)
2025-08-14T22:01:35.4187083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T22:01:35.4187408Z     out = self.relu(out)
2025-08-14T22:01:35.4187509Z 
2025-08-14T22:01:35.4187612Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4188082Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:01:35.4188507Z     feat_concat = self.fpn(feats)
2025-08-14T22:01:35.4188968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-14T22:01:35.4189466Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:01:35.4189958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-14T22:01:35.4190446Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:01:35.4190644Z 
2025-08-14T22:01:35.4190742Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4191192Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:01:35.4191607Z     feat_concat = self.fpn(feats)
2025-08-14T22:01:35.4192023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-14T22:01:35.4192528Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:01:35.4193008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-14T22:01:35.4193540Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:01:35.4193732Z 
2025-08-14T22:01:35.4193832Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4194273Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:01:35.4194688Z     feat_concat = self.fpn(feats)
2025-08-14T22:01:35.4195089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-14T22:01:35.4195566Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:01:35.4196088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-14T22:01:35.4196565Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:01:35.4196749Z 
2025-08-14T22:01:35.4196845Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4197284Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:01:35.4197697Z     feat_concat = self.fpn(feats)
2025-08-14T22:01:35.4198099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 86, in forward
2025-08-14T22:01:35.4198513Z     out.append(self.upsample(out[-1]) + t)
2025-08-14T22:01:35.4198651Z 
2025-08-14T22:01:35.4198748Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4199175Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:01:35.4199576Z     feat_concat = self.fpn(feats)
2025-08-14T22:01:35.4199972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-14T22:01:35.4200428Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:01:35.4200902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-14T22:01:35.4201370Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:01:35.4201563Z 
2025-08-14T22:01:35.4201660Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4202142Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:01:35.4202565Z     feat_concat = self.fpn(feats)
2025-08-14T22:01:35.4202968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 86, in forward
2025-08-14T22:01:35.4203394Z     out.append(self.upsample(out[-1]) + t)
2025-08-14T22:01:35.4203529Z 
2025-08-14T22:01:35.4203636Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4204081Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:01:35.4204493Z     feat_concat = self.fpn(feats)
2025-08-14T22:01:35.4204903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-14T22:01:35.4205375Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:01:35.4205862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-14T22:01:35.4206392Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:01:35.4206582Z 
2025-08-14T22:01:35.4206680Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4207130Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:01:35.4207550Z     feat_concat = self.fpn(feats)
2025-08-14T22:01:35.4207973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 86, in forward
2025-08-14T22:01:35.4208440Z     out.append(self.upsample(out[-1]) + t)
2025-08-14T22:01:35.4208573Z 
2025-08-14T22:01:35.4208678Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4209116Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:01:35.4209533Z     feat_concat = self.fpn(feats)
2025-08-14T22:01:35.4210060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-14T22:01:35.4216842Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:01:35.4217442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-14T22:01:35.4217981Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:01:35.4218176Z 
2025-08-14T22:01:35.4218295Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4218810Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:01:35.4219266Z     feat_concat = self.fpn(feats)
2025-08-14T22:01:35.4219723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-14T22:01:35.4220227Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:01:35.4220728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-14T22:01:35.4221225Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:01:35.4221412Z 
2025-08-14T22:01:35.4221520Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4221995Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:01:35.4222440Z     feat_concat = self.fpn(feats)
2025-08-14T22:01:35.4223002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-14T22:01:35.4223500Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:01:35.4223970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-14T22:01:35.4224441Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:01:35.4224608Z 
2025-08-14T22:01:35.4224710Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4225166Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:01:35.4225593Z     feat_concat = self.fpn(feats)
2025-08-14T22:01:35.4225998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-14T22:01:35.4226463Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:01:35.4226981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-14T22:01:35.4227446Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:01:35.4227611Z 
2025-08-14T22:01:35.4227709Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4228156Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:01:35.4228577Z     feat_concat = self.fpn(feats)
2025-08-14T22:01:35.4228988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-14T22:01:35.4229440Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:01:35.4229906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-14T22:01:35.4230378Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:01:35.4230546Z 
2025-08-14T22:01:35.4230655Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4231113Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:01:35.4231534Z     feat_concat = self.fpn(feats)
2025-08-14T22:01:35.4231943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-14T22:01:35.4232397Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:01:35.4232854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-14T22:01:35.4233326Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:01:35.4233501Z 
2025-08-14T22:01:35.4233600Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4234041Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:01:35.4234445Z     feat_concat = self.fpn(feats)
2025-08-14T22:01:35.4234851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-14T22:01:35.4235304Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:01:35.4235765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-14T22:01:35.4236256Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:01:35.4236433Z 
2025-08-14T22:01:35.4236535Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4236988Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:01:35.4237408Z     feat_concat = self.fpn(feats)
2025-08-14T22:01:35.4237811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-14T22:01:35.4238274Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:01:35.4238746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-14T22:01:35.4239227Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:01:35.4239390Z 
2025-08-14T22:01:35.4239489Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4239927Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:01:35.4240375Z     feat_concat = self.fpn(feats)
2025-08-14T22:01:35.4240766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 91, in forward
2025-08-14T22:01:35.4257311Z     return torch.cat(out, dim=1)
2025-08-14T22:01:35.4257482Z 
2025-08-14T22:01:35.4257573Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.4257835Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4258334Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward
2025-08-14T22:01:35.4258794Z     logits = self.prob_head(feat_concat)
2025-08-14T22:01:35.4258928Z 
2025-08-14T22:01:35.4259044Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4259520Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward
2025-08-14T22:01:35.4259958Z     logits = self.prob_head(feat_concat)
2025-08-14T22:01:35.4260099Z 
2025-08-14T22:01:35.4260201Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4260659Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward
2025-08-14T22:01:35.4261085Z     logits = self.prob_head(feat_concat)
2025-08-14T22:01:35.4261223Z 
2025-08-14T22:01:35.4261322Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4261776Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward
2025-08-14T22:01:35.4262371Z     logits = self.prob_head(feat_concat)
2025-08-14T22:01:35.4262504Z 
2025-08-14T22:01:35.4262592Z cudagraph partition due to non gpu ops
2025-08-14T22:01:35.4262836Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:35.4263296Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-08-14T22:01:35.4263802Z     prob_map = _bf16_to_float32(torch.sigmoid(logits))
2025-08-14T22:01:35.4263958Z 
2025-08-14T22:01:49.7761079Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:01:49.7761810Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/core.py", line 95, in __call__
2025-08-14T22:01:49.7762476Z     for bmap in (proba_map >= self.bin_thresh).astype(np.uint8)
2025-08-14T22:01:49.7762663Z 
2025-08-14T22:01:51.6243198Z Compilation time (from dynamo_timed): 28.473125528
2025-08-14T22:01:51.6243565Z pass
2025-08-14T22:01:51.6243909Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:01:51.6246076Z TIMING: gc:0.00613 entire_frame_compile:28.47313 _recursive_pre_grad_passes:0.01087 _recursive_joint_graph_passes:0.18032 _recursive_post_grad_passes:0.15012 async_compile.wait:1.16896 code_gen:12.8978 inductor_compile:15.28872 backend_compile:19.21058 total_wall_time:28.47313
2025-08-14T22:01:51.6247246Z STATS: call_* op count: 230 | FakeTensorMode.__torch_dispatch__:17216 | FakeTensor.__torch_dispatch__:8957 | ProxyTorchDispatchMode.__torch_dispatch__:6953
2025-08-14T22:01:51.6247786Z Dynamo produced 4 graphs covering 230 ops with 5 graph breaks (2 unique)
2025-08-14T22:01:55.8403688Z 
2025-08-14T22:01:58.3278466Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:01:58.3278780Z loading model: 0it [00:02, ?it/s]
2025-08-14T22:01:58.3286605Z cpu  eval  doctr_reco_predictor               
2025-08-14T22:01:58.5418640Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:01:58.5885465Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:01:58.6293071Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:02:12.0295687Z cudagraph partition due to non gpu ops
2025-08-14T22:02:12.0298737Z cudagraph partition due to non gpu ops
2025-08-14T22:02:12.0299127Z cudagraph partition due to non gpu ops
2025-08-14T22:02:12.0304269Z cudagraph partition due to non gpu ops
2025-08-14T22:02:12.0309604Z cudagraph partition due to non gpu ops
2025-08-14T22:02:12.0314921Z cudagraph partition due to non gpu ops
2025-08-14T22:02:12.0319549Z cudagraph partition due to non gpu ops
2025-08-14T22:02:12.0324870Z cudagraph partition due to non gpu ops
2025-08-14T22:02:12.0327679Z cudagraph partition due to non gpu ops
2025-08-14T22:02:12.0327950Z cudagraph partition due to non gpu ops
2025-08-14T22:02:12.0328198Z cudagraph partition due to non gpu ops
2025-08-14T22:02:12.0328408Z cudagraph partition due to non gpu ops
2025-08-14T22:02:12.0328651Z cudagraph partition due to non gpu ops
2025-08-14T22:02:12.0328852Z cudagraph partition due to non gpu ops
2025-08-14T22:02:12.0329117Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0329593Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0330136Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0330293Z 
2025-08-14T22:02:12.0330406Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0330869Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0331295Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0331435Z 
2025-08-14T22:02:12.0331548Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0332004Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0332400Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0332547Z 
2025-08-14T22:02:12.0332656Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0333059Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0333448Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0333574Z 
2025-08-14T22:02:12.0333694Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0334088Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0334468Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0334601Z 
2025-08-14T22:02:12.0334702Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0335110Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0335846Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0335988Z 
2025-08-14T22:02:12.0336094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0336500Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0336884Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0337010Z 
2025-08-14T22:02:12.0337109Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0337514Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0337889Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0338014Z 
2025-08-14T22:02:12.0338122Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0338520Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0338900Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0339038Z 
2025-08-14T22:02:12.0339148Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0339657Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0340054Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0340184Z 
2025-08-14T22:02:12.0340284Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0340686Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0341053Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0341183Z 
2025-08-14T22:02:12.0341303Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0341751Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0342130Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0342253Z 
2025-08-14T22:02:12.0342362Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0342760Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0343135Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0343256Z 
2025-08-14T22:02:12.0343364Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0343768Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0344154Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0344286Z 
2025-08-14T22:02:12.0344388Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0344800Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0345179Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0345313Z 
2025-08-14T22:02:12.0345415Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0345828Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0346214Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0346340Z 
2025-08-14T22:02:12.0346441Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0346854Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0347240Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0347363Z 
2025-08-14T22:02:12.0347464Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0347874Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0348259Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0348385Z 
2025-08-14T22:02:12.0348540Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0348952Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0349343Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0349489Z 
2025-08-14T22:02:12.0349596Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0350017Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0350389Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0350520Z 
2025-08-14T22:02:12.0350619Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0351021Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0351411Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0351540Z 
2025-08-14T22:02:12.0351642Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0352058Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0352514Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0352639Z 
2025-08-14T22:02:12.0352738Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0353142Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0353523Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0353646Z 
2025-08-14T22:02:12.0353754Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0354143Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0354525Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0354649Z 
2025-08-14T22:02:12.0354759Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0355166Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0355541Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0355671Z 
2025-08-14T22:02:12.0355771Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0356172Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0356543Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0356679Z 
2025-08-14T22:02:12.0356779Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0357180Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0357557Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0357681Z 
2025-08-14T22:02:12.0357781Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0358189Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0358570Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0358695Z 
2025-08-14T22:02:12.0358801Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0359199Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0359575Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0359697Z 
2025-08-14T22:02:12.0359804Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0360195Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0360574Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0360700Z 
2025-08-14T22:02:12.0360797Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:12.0361233Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:02:12.0361606Z     features = self.feat_extractor(x)
2025-08-14T22:02:12.0361739Z 
2025-08-14T22:02:15.5058629Z E0814 22:02:15.504638 14961 site-packages/torch/fx/experimental/recording.py:315] [2/0] failed while running evaluate_expr(*(u0, None, u0, False, False, False, None), **{})
2025-08-14T22:02:15.5896676Z E0814 22:02:15.588040 14961 site-packages/torch/fx/experimental/recording.py:315] [3/0] failed while running evaluate_expr(*(u0, None, u0, False, False, False, None), **{})
2025-08-14T22:02:15.7184205Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:15.7188665Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 75, in ctc_best_path
2025-08-14T22:02:15.7193539Z     probs = F.softmax(logits, dim=-1).max(dim=-1).values.min(dim=1).values
2025-08-14T22:02:15.7197472Z 
2025-08-14T22:02:16.6732115Z Compilation time (from dynamo_timed): 16.949940602
2025-08-14T22:02:16.6737645Z pass
2025-08-14T22:02:16.6743190Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:02:16.6746048Z TIMING: gc:0.00432 entire_frame_compile:16.94994 _recursive_pre_grad_passes:0.00533 _recursive_joint_graph_passes:0.43013 _recursive_post_grad_passes:0.04598 async_compile.wait:1.43847 code_gen:3.26471 inductor_compile:3.98693 backend_compile:7.32641 total_wall_time:16.94994
2025-08-14T22:02:16.6747225Z STATS: call_* op count: 56 | FakeTensorMode.__torch_dispatch__:5223 | attempt fast:118 | fast is_contiguous:118 | FakeTensor.__torch_dispatch__:1672 | ProxyTorchDispatchMode.__torch_dispatch__:1316
2025-08-14T22:02:16.6747789Z Dynamo produced 2 graphs covering 56 ops with 4 graph breaks (3 unique)
2025-08-14T22:02:20.8345304Z 
2025-08-14T22:02:20.8869482Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality.
2025-08-14T22:02:20.8870338Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade.
2025-08-14T22:02:20.8871012Z Users of this version of Gym should be able to simply replace 'import gym' with 'import gymnasium as gym' in the vast majority of cases.
2025-08-14T22:02:20.8871693Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information.
2025-08-14T22:02:21.4500234Z 
2025-08-14T22:02:21.4500836Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:02:21.4501351Z cpu  eval  drq                                
2025-08-14T22:02:21.4585785Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:02:21.4637325Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:02:21.4680677Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:02:23.6484744Z cudagraph partition due to non gpu ops
2025-08-14T22:02:23.6485124Z cudagraph partition due to non gpu ops
2025-08-14T22:02:23.6485361Z cudagraph partition due to non gpu ops
2025-08-14T22:02:23.6485579Z cudagraph partition due to non gpu ops
2025-08-14T22:02:23.6485853Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:23.6486276Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:02:23.6486656Z     return mod(*inputs)
2025-08-14T22:02:23.6486944Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:02:23.6487274Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:02:23.6487597Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-14T22:02:23.6487890Z     h = self.forward_conv(obs)
2025-08-14T22:02:23.6488191Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 43, in forward_conv
2025-08-14T22:02:23.6488941Z     conv = torch.relu(self.convs[0](obs))
2025-08-14T22:02:23.6489103Z 
2025-08-14T22:02:23.6489228Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:23.6489628Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:02:23.6490165Z     return mod(*inputs)
2025-08-14T22:02:23.6490461Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:02:23.6490777Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:02:23.6491098Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-14T22:02:23.6491399Z     h = self.forward_conv(obs)
2025-08-14T22:02:23.6491688Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-14T22:02:23.6492014Z     conv = torch.relu(self.convs[i](conv))
2025-08-14T22:02:23.6492159Z 
2025-08-14T22:02:23.6492282Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:23.6492669Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:02:23.6493155Z     return mod(*inputs)
2025-08-14T22:02:23.6493441Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:02:23.6493772Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:02:23.6494086Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-14T22:02:23.6494399Z     h = self.forward_conv(obs)
2025-08-14T22:02:23.6494702Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-14T22:02:23.6495039Z     conv = torch.relu(self.convs[i](conv))
2025-08-14T22:02:23.6495206Z 
2025-08-14T22:02:23.6495315Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:23.6495742Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:02:23.6496087Z     return mod(*inputs)
2025-08-14T22:02:23.6496351Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:02:23.6496663Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:02:23.6496972Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-14T22:02:23.6497258Z     h = self.forward_conv(obs)
2025-08-14T22:02:23.6497552Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-14T22:02:23.6497869Z     conv = torch.relu(self.convs[i](conv))
2025-08-14T22:02:23.6498003Z 
2025-08-14T22:02:23.6498115Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:23.6498477Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:02:23.6498798Z     return mod(*inputs)
2025-08-14T22:02:23.6499045Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:02:23.6499327Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:02:23.6499612Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-14T22:02:23.6499883Z     h = self.forward_conv(obs)
2025-08-14T22:02:23.6500158Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-14T22:02:23.6500446Z     conv = torch.relu(self.convs[i](conv))
2025-08-14T22:02:23.6500585Z 
2025-08-14T22:02:23.6500689Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:23.6501044Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:02:23.6501362Z     return mod(*inputs)
2025-08-14T22:02:23.6501610Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:02:23.6501900Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:02:23.6502187Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 61, in forward
2025-08-14T22:02:23.6502445Z     out = self.head(h)
2025-08-14T22:02:23.6502555Z 
2025-08-14T22:02:23.6502658Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:23.6503066Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:02:23.6503388Z     return mod(*inputs)
2025-08-14T22:02:23.6503635Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:02:23.6503924Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:02:23.6504203Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 63, in forward
2025-08-14T22:02:23.6504473Z     out = torch.tanh(out)
2025-08-14T22:02:23.6504589Z 
2025-08-14T22:02:23.6504690Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:23.6505049Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:02:23.6505412Z     return mod(*inputs)
2025-08-14T22:02:23.6505658Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-08-14T22:02:23.6505954Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-08-14T22:02:23.6506097Z 
2025-08-14T22:02:23.6506202Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:23.6506606Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:02:23.6506928Z     return mod(*inputs)
2025-08-14T22:02:23.6507174Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-08-14T22:02:23.6507461Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-08-14T22:02:23.6507611Z 
2025-08-14T22:02:23.6507713Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:23.6508071Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:02:23.6508388Z     return mod(*inputs)
2025-08-14T22:02:23.6508636Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-08-14T22:02:23.6508924Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-08-14T22:02:23.6509067Z 
2025-08-14T22:02:23.6509175Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:23.6509533Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:02:23.6509856Z     return mod(*inputs)
2025-08-14T22:02:23.6510103Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-08-14T22:02:23.6510369Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-08-14T22:02:23.6510509Z 
2025-08-14T22:02:23.6510608Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:23.6510954Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:02:23.6511276Z     return mod(*inputs)
2025-08-14T22:02:23.6511499Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-08-14T22:02:23.6511772Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-08-14T22:02:23.6511905Z 
2025-08-14T22:02:23.6512008Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:23.6512353Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:02:23.6512654Z     return mod(*inputs)
2025-08-14T22:02:23.6512895Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 105, in forward
2025-08-14T22:02:23.6513157Z     std = log_std.exp()
2025-08-14T22:02:23.6513254Z 
2025-08-14T22:02:30.8355795Z Compilation time (from dynamo_timed): 8.39605779
2025-08-14T22:02:30.8356076Z pass
2025-08-14T22:02:30.8360625Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:02:30.8361469Z TIMING: _recursive_pre_grad_passes:0.00433 _recursive_joint_graph_passes:0.12145 _recursive_post_grad_passes:0.02114 async_compile.wait:0.77314 code_gen:6.80333 inductor_compile:6.91412 backend_compile:7.78551 gc:0.00165 entire_frame_compile:8.39606 total_wall_time:8.39606
2025-08-14T22:02:30.8362608Z STATS: call_* op count: 58 | FakeTensor.__torch_dispatch__:274 | FakeTensorMode.__torch_dispatch__:1195 | ProxyTorchDispatchMode.__torch_dispatch__:290
2025-08-14T22:02:30.8363386Z Dynamo produced 2 graphs covering 58 ops with 0 graph breaks (0 unique)
2025-08-14T22:02:34.7920260Z 
2025-08-14T22:02:36.4560229Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:02:36.4560708Z loading model: 0it [00:01, ?it/s]
2025-08-14T22:02:36.4570998Z cpu  eval  fastNLP_Bert                       
2025-08-14T22:02:37.6694910Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:02:38.2510468Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:02:38.8070924Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:02:39.9040386Z W0814 22:02:39.902369 16577 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break from `Tensor.item()`, consider setting:
2025-08-14T22:02:39.9041513Z W0814 22:02:39.902369 16577 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-14T22:02:39.9042673Z W0814 22:02:39.902369 16577 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] or:
2025-08-14T22:02:39.9044022Z W0814 22:02:39.902369 16577 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-14T22:02:39.9045076Z W0814 22:02:39.902369 16577 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] to include these operations in the captured graph.
2025-08-14T22:02:39.9045885Z W0814 22:02:39.902369 16577 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-14T22:02:39.9046643Z W0814 22:02:39.902369 16577 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break: from user code at:
2025-08-14T22:02:39.9047748Z W0814 22:02:39.902369 16577 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:02:39.9048871Z W0814 22:02:39.902369 16577 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     return mod(*inputs)
2025-08-14T22:02:39.9050169Z W0814 22:02:39.902369 16577 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/models/bert.py", line 265, in forward
2025-08-14T22:02:39.9051371Z W0814 22:02:39.902369 16577 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     sequence_output = self.bert(words)
2025-08-14T22:02:39.9052611Z W0814 22:02:39.902369 16577 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 137, in forward
2025-08-14T22:02:39.9053834Z W0814 22:02:39.902369 16577 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     outputs = self.model(words)
2025-08-14T22:02:39.9055077Z W0814 22:02:39.902369 16577 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward
2025-08-14T22:02:39.9060501Z W0814 22:02:39.902369 16577 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item()  # 表示word piece的长度(包括padding)
2025-08-14T22:02:39.9061663Z W0814 22:02:39.902369 16577 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-14T22:02:39.9062532Z W0814 22:02:39.902369 16577 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-14T22:02:47.2161460Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:47.2162459Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward
2025-08-14T22:02:47.2163497Z     max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item()  # 表示word piece的长度(包括padding)
2025-08-14T22:02:47.2163825Z 
2025-08-14T22:02:47.2163952Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:47.2164801Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 441, in forward
2025-08-14T22:02:47.2165249Z     seq_len = word_mask.sum(dim=-1)
2025-08-14T22:02:47.2165400Z 
2025-08-14T22:02:54.1909051Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1909623Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 512, in forward
2025-08-14T22:02:54.1910076Z     embedding_output = self.embeddings(input_ids, token_type_ids)
2025-08-14T22:02:54.1910543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 242, in forward
2025-08-14T22:02:54.1910993Z     embeddings = words_embeddings + position_embeddings + token_type_embeddings
2025-08-14T22:02:54.1911211Z 
2025-08-14T22:02:54.1911326Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1911717Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.1912143Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.1912963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.1913394Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.1913814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.1914263Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.1914701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.1915126Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.1915525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-14T22:02:54.1915928Z     mixed_query_layer = self.query(hidden_states)
2025-08-14T22:02:54.1916089Z 
2025-08-14T22:02:54.1916214Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1916629Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.1917022Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.1917421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.1917850Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.1918262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.1918736Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.1919206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.1919614Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.1920016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-14T22:02:54.1920409Z     mixed_key_layer = self.key(hidden_states)
2025-08-14T22:02:54.1920565Z 
2025-08-14T22:02:54.1920675Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1921062Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.1921433Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.1921820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.1922246Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.1922663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.1923112Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.1923676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.1924091Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.1924500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-14T22:02:54.1924907Z     mixed_value_layer = self.value(hidden_states)
2025-08-14T22:02:54.1925069Z 
2025-08-14T22:02:54.1925171Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.1925410Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.1925666Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1926082Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.1926488Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.1927024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.1927500Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.1927931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.1928382Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.1928875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-14T22:02:54.1929318Z     attention_output = self.output(self_output, input_tensor)
2025-08-14T22:02:54.1929751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-14T22:02:54.1930404Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.1930563Z 
2025-08-14T22:02:54.1930679Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1931176Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.1931585Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.1931976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.1932399Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.1932815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.1933242Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.1933663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-14T22:02:54.1934058Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.1934206Z 
2025-08-14T22:02:54.1934342Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1934755Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.1935154Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.1935550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.1935970Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.1936379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.1936804Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.1937227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:02:54.1937641Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:02:54.1938047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:02:54.1938508Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:02:54.1938676Z 
2025-08-14T22:02:54.1938792Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1939196Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.1939585Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.1939978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.1940392Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.1940795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-14T22:02:54.1941238Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:02:54.1941672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-14T22:02:54.1942061Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.1942246Z 
2025-08-14T22:02:54.1942354Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1942759Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.1943157Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.1943550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.1943960Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.1944366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.1944799Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.1945219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.1945666Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.1946078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-14T22:02:54.1946473Z     mixed_query_layer = self.query(hidden_states)
2025-08-14T22:02:54.1946628Z 
2025-08-14T22:02:54.1946738Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1947144Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.1947543Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.1947936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.1948348Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.1948763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.1949199Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.1949625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.1950034Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.1950439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-14T22:02:54.1950826Z     mixed_key_layer = self.key(hidden_states)
2025-08-14T22:02:54.1950971Z 
2025-08-14T22:02:54.1951079Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1951481Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.1951879Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.1952272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.1952715Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.1953145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.1953591Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.1954021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.1954438Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.1954845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-14T22:02:54.1955242Z     mixed_value_layer = self.value(hidden_states)
2025-08-14T22:02:54.1955398Z 
2025-08-14T22:02:54.1955486Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.1955717Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.1955971Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1956375Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.1956808Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.1957195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.1957607Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.1958011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.1958423Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.1958850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-14T22:02:54.1959270Z     attention_output = self.output(self_output, input_tensor)
2025-08-14T22:02:54.1959688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-14T22:02:54.1960056Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.1960193Z 
2025-08-14T22:02:54.1960304Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1960677Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.1961052Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.1961422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.1961814Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.1962430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.1962835Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.1963237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-14T22:02:54.1963606Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.1963746Z 
2025-08-14T22:02:54.1963851Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1964235Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.1964627Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.1965015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.1965432Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.1965851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.1966275Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.1966775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:02:54.1967195Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:02:54.1967600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:02:54.1968001Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:02:54.1968164Z 
2025-08-14T22:02:54.1968272Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1968684Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.1969064Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.1969447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.1969864Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.1970409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-14T22:02:54.1970930Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:02:54.1971367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-14T22:02:54.1971762Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.1971909Z 
2025-08-14T22:02:54.1972012Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1972397Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.1972766Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.1973141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.1973537Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.1973924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.1974343Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.1974755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.1975141Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.1975516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-14T22:02:54.1975892Z     mixed_query_layer = self.query(hidden_states)
2025-08-14T22:02:54.1976046Z 
2025-08-14T22:02:54.1976147Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1976531Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.1976903Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.1977280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.1977682Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.1978114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.1978531Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.1978940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.1979333Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.1979713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-14T22:02:54.1980085Z     mixed_key_layer = self.key(hidden_states)
2025-08-14T22:02:54.1980234Z 
2025-08-14T22:02:54.1980336Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1980768Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.1981177Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.1981581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.1981980Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.1982377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.1982779Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.1983179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.1983560Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.1983954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-14T22:02:54.1984323Z     mixed_value_layer = self.value(hidden_states)
2025-08-14T22:02:54.1984514Z 
2025-08-14T22:02:54.1984594Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.1984805Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.1985029Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1985412Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.1985782Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.1986141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.1986527Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.1986909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.1987326Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.1987728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-14T22:02:54.1988135Z     attention_output = self.output(self_output, input_tensor)
2025-08-14T22:02:54.1988540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-14T22:02:54.1988903Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.1989036Z 
2025-08-14T22:02:54.1989136Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1989511Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.1989880Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.1990236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.1990624Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.1991009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.1991395Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.1991779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-14T22:02:54.1992135Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.1992267Z 
2025-08-14T22:02:54.1992374Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1992787Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.1993150Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.1993515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.1993944Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.1994323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.1994711Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.1995096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:02:54.1995480Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:02:54.1995847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:02:54.1996217Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:02:54.1996366Z 
2025-08-14T22:02:54.1996476Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.1996849Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.1997215Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.1997624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.1998017Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.1998392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-14T22:02:54.1998799Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:02:54.1999203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-14T22:02:54.1999565Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.1999700Z 
2025-08-14T22:02:54.1999799Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2000172Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2000544Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2000908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2001287Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2001669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2002074Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2002464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2002845Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2003228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-14T22:02:54.2003601Z     mixed_query_layer = self.query(hidden_states)
2025-08-14T22:02:54.2003747Z 
2025-08-14T22:02:54.2003853Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2004244Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2004623Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2004997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2005383Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2005778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2006193Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2006592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2006981Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2007404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-14T22:02:54.2007775Z     mixed_key_layer = self.key(hidden_states)
2025-08-14T22:02:54.2007913Z 
2025-08-14T22:02:54.2008014Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2008393Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2008770Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2009137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2009521Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2009908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2010411Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2010867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2011355Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2011779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-14T22:02:54.2012187Z     mixed_value_layer = self.value(hidden_states)
2025-08-14T22:02:54.2012333Z 
2025-08-14T22:02:54.2012415Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.2012630Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.2012868Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2013247Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2013626Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2014004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2014405Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2014789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2015200Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2015606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-14T22:02:54.2016004Z     attention_output = self.output(self_output, input_tensor)
2025-08-14T22:02:54.2016394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-14T22:02:54.2016761Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2016898Z 
2025-08-14T22:02:54.2017008Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2017383Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2017762Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2018133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2018528Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2018911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.2019309Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.2019704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-14T22:02:54.2020074Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2020209Z 
2025-08-14T22:02:54.2020307Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2020719Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2021091Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2021447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2021830Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2022212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.2022598Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.2022979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:02:54.2023364Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:02:54.2023738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:02:54.2024105Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:02:54.2024290Z 
2025-08-14T22:02:54.2024393Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2024771Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2025146Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2025506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2025890Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2026279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-14T22:02:54.2026685Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:02:54.2027084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-14T22:02:54.2027448Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2027597Z 
2025-08-14T22:02:54.2027700Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2028078Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2028443Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2028808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2029197Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2029577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2029989Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2030393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2030776Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2031148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-14T22:02:54.2031515Z     mixed_query_layer = self.query(hidden_states)
2025-08-14T22:02:54.2031668Z 
2025-08-14T22:02:54.2031773Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2032155Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2032524Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2032894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2033286Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2033664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2034153Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2034558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2034930Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2035291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-14T22:02:54.2035645Z     mixed_key_layer = self.key(hidden_states)
2025-08-14T22:02:54.2035788Z 
2025-08-14T22:02:54.2035890Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2036270Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2036639Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2037008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2037400Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2037824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2038226Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2038621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2038993Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2039352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-14T22:02:54.2039712Z     mixed_value_layer = self.value(hidden_states)
2025-08-14T22:02:54.2039860Z 
2025-08-14T22:02:54.2039940Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.2040153Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.2040378Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2040754Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2041120Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2041470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2041851Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2042227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2042620Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2043002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-14T22:02:54.2043382Z     attention_output = self.output(self_output, input_tensor)
2025-08-14T22:02:54.2043765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-14T22:02:54.2044121Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2044256Z 
2025-08-14T22:02:54.2044354Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2044723Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2045084Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2045434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2045812Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2046189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.2046577Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.2046984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-14T22:02:54.2047349Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2047483Z 
2025-08-14T22:02:54.2047593Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2047980Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2048351Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2048728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2049123Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2049505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.2049905Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.2050397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:02:54.2050861Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:02:54.2051281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:02:54.2051679Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:02:54.2051843Z 
2025-08-14T22:02:54.2051963Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2052372Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2052786Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2053161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2053554Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2053942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-14T22:02:54.2054362Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:02:54.2054776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-14T22:02:54.2055142Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2055279Z 
2025-08-14T22:02:54.2055381Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2055768Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2056146Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2056518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2056904Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2057300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2057715Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2058117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2058505Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2058887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-14T22:02:54.2059303Z     mixed_query_layer = self.query(hidden_states)
2025-08-14T22:02:54.2059451Z 
2025-08-14T22:02:54.2059553Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2059936Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2060312Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2060718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2061108Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2061497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2061905Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2062507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2062903Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2063287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-14T22:02:54.2063655Z     mixed_key_layer = self.key(hidden_states)
2025-08-14T22:02:54.2063794Z 
2025-08-14T22:02:54.2063896Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2064293Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2064764Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2065134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2065519Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2065913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2066320Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2066719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2067109Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2067482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-14T22:02:54.2067842Z     mixed_value_layer = self.value(hidden_states)
2025-08-14T22:02:54.2067986Z 
2025-08-14T22:02:54.2068067Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.2068279Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.2068509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2068880Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2069249Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2069605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2069982Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2070349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2070748Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2071144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-14T22:02:54.2071531Z     attention_output = self.output(self_output, input_tensor)
2025-08-14T22:02:54.2071903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-14T22:02:54.2072258Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2072391Z 
2025-08-14T22:02:54.2072500Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2072864Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2073230Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2073584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2074019Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2074400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.2074802Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.2075195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-14T22:02:54.2075553Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2075687Z 
2025-08-14T22:02:54.2075785Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2076162Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2076533Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2076888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2077275Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2077669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.2078107Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.2078502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:02:54.2078896Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:02:54.2079281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:02:54.2079662Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:02:54.2079817Z 
2025-08-14T22:02:54.2079919Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2080311Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2080693Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2081061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2081461Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2081852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-14T22:02:54.2082267Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:02:54.2082670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-14T22:02:54.2083041Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2083187Z 
2025-08-14T22:02:54.2083292Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2083676Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2084052Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2084431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2084826Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2085213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2085627Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2086037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2086423Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2086798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-14T22:02:54.2087174Z     mixed_query_layer = self.query(hidden_states)
2025-08-14T22:02:54.2087326Z 
2025-08-14T22:02:54.2087478Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2087869Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2088242Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2088614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2089008Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2089390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2089803Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2090305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2090717Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2091116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-14T22:02:54.2091549Z     mixed_key_layer = self.key(hidden_states)
2025-08-14T22:02:54.2091699Z 
2025-08-14T22:02:54.2091803Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2092194Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2092569Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2092945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2093341Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2093726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2094141Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2094556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2094947Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2095328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-14T22:02:54.2095702Z     mixed_value_layer = self.value(hidden_states)
2025-08-14T22:02:54.2095851Z 
2025-08-14T22:02:54.2095933Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.2096149Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.2096379Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2096765Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2097141Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2097507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2097906Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2098301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2098717Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2099120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-14T22:02:54.2099518Z     attention_output = self.output(self_output, input_tensor)
2025-08-14T22:02:54.2099914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-14T22:02:54.2100282Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2100422Z 
2025-08-14T22:02:54.2100524Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2100952Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2101330Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2101690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2102077Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2102463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.2102857Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.2103245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-14T22:02:54.2103608Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2103744Z 
2025-08-14T22:02:54.2103853Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2104236Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2104651Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2105017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2105427Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2105828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.2106259Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.2106664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:02:54.2107057Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:02:54.2107431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:02:54.2107808Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:02:54.2107960Z 
2025-08-14T22:02:54.2108075Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2108479Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2108865Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2109254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2109666Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2110067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-14T22:02:54.2110499Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:02:54.2110916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-14T22:02:54.2111292Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2111440Z 
2025-08-14T22:02:54.2111546Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2111945Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2112339Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2112725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2113126Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2113531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2113957Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2114375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2114834Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2115243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-14T22:02:54.2115633Z     mixed_query_layer = self.query(hidden_states)
2025-08-14T22:02:54.2115786Z 
2025-08-14T22:02:54.2115893Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2116301Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2116698Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2117093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2117501Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2117916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2118350Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2118815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2119228Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2119635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-14T22:02:54.2120022Z     mixed_key_layer = self.key(hidden_states)
2025-08-14T22:02:54.2120169Z 
2025-08-14T22:02:54.2120277Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2120686Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2121086Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2121489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2121879Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2122276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2122684Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2123084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2123498Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2123903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-14T22:02:54.2124297Z     mixed_value_layer = self.value(hidden_states)
2025-08-14T22:02:54.2124453Z 
2025-08-14T22:02:54.2124541Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.2124769Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.2125020Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2125422Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2125830Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2126226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2126644Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2127055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2127486Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2127919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-14T22:02:54.2128342Z     attention_output = self.output(self_output, input_tensor)
2025-08-14T22:02:54.2129584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-14T22:02:54.2130110Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2130267Z 
2025-08-14T22:02:54.2130389Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2130803Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2131218Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2131680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2132094Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2132478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.2132884Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.2133289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-14T22:02:54.2133710Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2133846Z 
2025-08-14T22:02:54.2133948Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2134329Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2134702Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2135061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2135449Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2135837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.2136232Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.2136620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:02:54.2137017Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:02:54.2137402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:02:54.2137780Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:02:54.2137935Z 
2025-08-14T22:02:54.2138039Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2138422Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2138802Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2139164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2139558Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2139949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-14T22:02:54.2140364Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:02:54.2140762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-14T22:02:54.2141126Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2141270Z 
2025-08-14T22:02:54.2141372Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2141753Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2142119Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2142485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2142871Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2143288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2143706Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2144116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2144505Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2144879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-14T22:02:54.2145252Z     mixed_query_layer = self.query(hidden_states)
2025-08-14T22:02:54.2145406Z 
2025-08-14T22:02:54.2145509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2145899Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2146274Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2146649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2147079Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2147462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2147888Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2148317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2148719Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2149114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-14T22:02:54.2149499Z     mixed_key_layer = self.key(hidden_states)
2025-08-14T22:02:54.2149652Z 
2025-08-14T22:02:54.2149762Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2150179Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2150557Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2150929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2151321Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2151724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2152156Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2152589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2152992Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2153387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-14T22:02:54.2153778Z     mixed_value_layer = self.value(hidden_states)
2025-08-14T22:02:54.2153942Z 
2025-08-14T22:02:54.2154029Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.2154257Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.2154502Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2154911Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2155308Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2155698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2156118Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2156536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2156968Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2157431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-14T22:02:54.2157852Z     attention_output = self.output(self_output, input_tensor)
2025-08-14T22:02:54.2158268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-14T22:02:54.2158651Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2158796Z 
2025-08-14T22:02:54.2158905Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2159310Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2159701Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2160083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2160497Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2160911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.2161372Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.2161780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-14T22:02:54.2162325Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2162478Z 
2025-08-14T22:02:54.2162596Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2163010Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2163407Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2163807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2164229Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2164642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.2165073Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.2165500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:02:54.2165919Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:02:54.2166319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:02:54.2166719Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:02:54.2166881Z 
2025-08-14T22:02:54.2166996Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2167406Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2167807Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2168205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2168625Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2169035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-14T22:02:54.2169474Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:02:54.2169913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-14T22:02:54.2170378Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2170532Z 
2025-08-14T22:02:54.2170645Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2171067Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2171580Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2171990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2172416Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2172843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2173293Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2173732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2174152Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2174570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-14T22:02:54.2174971Z     mixed_query_layer = self.query(hidden_states)
2025-08-14T22:02:54.2175129Z 
2025-08-14T22:02:54.2175243Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2175729Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2176202Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2176608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2177030Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2177457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2177905Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2178348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2178767Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2179185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-14T22:02:54.2179587Z     mixed_key_layer = self.key(hidden_states)
2025-08-14T22:02:54.2179735Z 
2025-08-14T22:02:54.2179848Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2180266Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2180679Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2181084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2181508Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2181935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2182386Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2182826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2183249Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2183663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-14T22:02:54.2184070Z     mixed_value_layer = self.value(hidden_states)
2025-08-14T22:02:54.2184228Z 
2025-08-14T22:02:54.2184317Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.2184662Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.2184892Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2185277Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2185656Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2186023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2186452Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2186856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2187282Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2187706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-14T22:02:54.2188130Z     attention_output = self.output(self_output, input_tensor)
2025-08-14T22:02:54.2188543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-14T22:02:54.2188926Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2189074Z 
2025-08-14T22:02:54.2189180Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2189589Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2189989Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2190411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2190830Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2191219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.2191615Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.2192005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-14T22:02:54.2192368Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2192507Z 
2025-08-14T22:02:54.2192615Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2193001Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2193369Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2193745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2194138Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2194517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.2194913Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.2195307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:02:54.2195693Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:02:54.2196070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:02:54.2196450Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:02:54.2196603Z 
2025-08-14T22:02:54.2196716Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2197108Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2197479Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2197848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2198237Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2198618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-14T22:02:54.2199030Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:02:54.2199439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-14T22:02:54.2199846Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2199987Z 
2025-08-14T22:02:54.2200094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2200477Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2200853Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2201221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2201607Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2201995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2202406Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2202808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2203188Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2203602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-14T22:02:54.2203973Z     mixed_query_layer = self.query(hidden_states)
2025-08-14T22:02:54.2204119Z 
2025-08-14T22:02:54.2204219Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2204602Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2204979Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2205345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2205728Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2206117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2206527Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2206930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2207321Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2207699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-14T22:02:54.2208068Z     mixed_key_layer = self.key(hidden_states)
2025-08-14T22:02:54.2208207Z 
2025-08-14T22:02:54.2208310Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2208693Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2209069Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2209440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2209829Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2210335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2210797Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2211239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2211671Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2212084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-14T22:02:54.2212481Z     mixed_value_layer = self.value(hidden_states)
2025-08-14T22:02:54.2212639Z 
2025-08-14T22:02:54.2212736Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.2212958Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.2213201Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2213638Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2214027Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2214419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2214832Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2215234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2215670Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2216098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-14T22:02:54.2216587Z     attention_output = self.output(self_output, input_tensor)
2025-08-14T22:02:54.2216979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-14T22:02:54.2217364Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2217569Z 
2025-08-14T22:02:54.2217687Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2218095Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2218467Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2218858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2219277Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2219677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.2220100Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.2220525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-14T22:02:54.2220912Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2221060Z 
2025-08-14T22:02:54.2221167Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2221570Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2221969Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2222356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2222763Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2223170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.2223591Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.2224004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:02:54.2224411Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:02:54.2224820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:02:54.2225223Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:02:54.2225383Z 
2025-08-14T22:02:54.2225489Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2225892Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2226293Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2226680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2227069Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2227680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-14T22:02:54.2228095Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:02:54.2228487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-14T22:02:54.2228846Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2228991Z 
2025-08-14T22:02:54.2229093Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2229469Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2229833Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2230198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2230584Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2230972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2231422Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2231834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2232227Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2232613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-14T22:02:54.2232985Z     mixed_query_layer = self.query(hidden_states)
2025-08-14T22:02:54.2233141Z 
2025-08-14T22:02:54.2233243Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2233625Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2233997Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2234375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2234775Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2235167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2235572Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2235974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2236351Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2236725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-14T22:02:54.2237091Z     mixed_key_layer = self.key(hidden_states)
2025-08-14T22:02:54.2237236Z 
2025-08-14T22:02:54.2237338Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2237728Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2238104Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2238478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2238872Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2239263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2239668Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2240078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-14T22:02:54.2240461Z     self_output = self.self(input_tensor, attention_mask)
2025-08-14T22:02:54.2240835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-14T22:02:54.2241247Z     mixed_value_layer = self.value(hidden_states)
2025-08-14T22:02:54.2241407Z 
2025-08-14T22:02:54.2241488Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.2241700Z cudagraph partition due to non gpu ops
2025-08-14T22:02:54.2241926Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2242306Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2242679Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2243040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2243430Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2243819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-14T22:02:54.2244225Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-14T22:02:54.2244624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-14T22:02:54.2245095Z     attention_output = self.output(self_output, input_tensor)
2025-08-14T22:02:54.2245486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-14T22:02:54.2245861Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2246003Z 
2025-08-14T22:02:54.2246107Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2246490Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2246865Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2247230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2247626Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2248021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.2248427Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.2248817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-14T22:02:54.2249200Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2249344Z 
2025-08-14T22:02:54.2249457Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2249863Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2250341Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2250748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2251186Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2251591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:02:54.2252012Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:02:54.2252427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:02:54.2252843Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:02:54.2253237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:02:54.2253613Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:02:54.2253772Z 
2025-08-14T22:02:54.2253877Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2254261Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:02:54.2254630Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:02:54.2255052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:02:54.2255454Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:02:54.2255840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-14T22:02:54.2256253Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:02:54.2256661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-14T22:02:54.2257027Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:02:54.2257165Z 
2025-08-14T22:02:54.2257265Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2257700Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward
2025-08-14T22:02:54.2258081Z     pooled_output = self.pooler(sequence_output)
2025-08-14T22:02:54.2258456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 404, in forward
2025-08-14T22:02:54.2258858Z     pooled_output = self.dense(first_token_tensor)
2025-08-14T22:02:54.2259014Z 
2025-08-14T22:02:54.2259113Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:54.2259493Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward
2025-08-14T22:02:54.2259861Z     pooled_output = self.pooler(sequence_output)
2025-08-14T22:02:54.2260232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 405, in forward
2025-08-14T22:02:54.2260606Z     pooled_output = self.activation(pooled_output)
2025-08-14T22:02:54.2260762Z 
2025-08-14T22:02:56.8274377Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:56.8275013Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 140, in torch_dynamo_resume_in_forward_at_137
2025-08-14T22:02:56.8275527Z     return self.dropout(outputs)
2025-08-14T22:02:56.8275931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/embedding.py", line 160, in dropout
2025-08-14T22:02:56.8276331Z     return self.dropout_layer(words)
2025-08-14T22:02:56.8276478Z 
2025-08-14T22:02:57.4719000Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:02:57.4719582Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/models/bert.py", line 266, in torch_dynamo_resume_in_forward_at_265
2025-08-14T22:02:57.4720087Z     logits = self.qa_outputs(sequence_output)  # [batch_size, seq_len, num_labels]
2025-08-14T22:02:57.4720332Z 
2025-08-14T22:02:57.8123522Z Compilation time (from dynamo_timed): 17.472844959
2025-08-14T22:02:57.8123854Z pass
2025-08-14T22:02:57.8124164Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:02:57.8125036Z TIMING: gc:0.00535 entire_frame_compile:17.47284 _recursive_pre_grad_passes:0.00969 _recursive_joint_graph_passes:0.7219 _recursive_post_grad_passes:0.07642 async_compile.wait:1.83199 code_gen:3.55938 inductor_compile:4.62066 backend_compile:8.45298 total_wall_time:17.47284
2025-08-14T22:02:57.8126054Z STATS: call_* op count: 440 | FakeTensorMode.__torch_dispatch__:15952 | ProxyTorchDispatchMode.__torch_dispatch__:6097 | FakeTensor.__torch_dispatch__:4506
2025-08-14T22:02:57.8126611Z Dynamo produced 4 graphs covering 440 ops with 4 graph breaks (1 unique)
2025-08-14T22:03:01.9504681Z 
2025-08-14T22:03:02.3399887Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:03:02.3400239Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:03:02.3403994Z cpu  eval  functorch_dp_cifar10               
2025-08-14T22:03:02.3767519Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:03:02.3966653Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:03:02.4138522Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:03:11.6882970Z cudagraph partition due to non gpu ops
2025-08-14T22:03:11.6883283Z cudagraph partition due to non gpu ops
2025-08-14T22:03:11.6883517Z cudagraph partition due to non gpu ops
2025-08-14T22:03:11.6883744Z cudagraph partition due to non gpu ops
2025-08-14T22:03:11.6883958Z cudagraph partition due to non gpu ops
2025-08-14T22:03:11.6884178Z cudagraph partition due to non gpu ops
2025-08-14T22:03:11.6884397Z cudagraph partition due to non gpu ops
2025-08-14T22:03:11.6884608Z cudagraph partition due to non gpu ops
2025-08-14T22:03:11.6884824Z cudagraph partition due to non gpu ops
2025-08-14T22:03:11.6885039Z cudagraph partition due to non gpu ops
2025-08-14T22:03:11.6885247Z cudagraph partition due to non gpu ops
2025-08-14T22:03:11.6885474Z cudagraph partition due to non gpu ops
2025-08-14T22:03:11.6885695Z cudagraph partition due to non gpu ops
2025-08-14T22:03:11.6885948Z cudagraph partition due to non gpu ops
2025-08-14T22:03:11.6886542Z cudagraph partition due to non gpu ops
2025-08-14T22:03:11.6886763Z cudagraph partition due to non gpu ops
2025-08-14T22:03:11.6886982Z cudagraph partition due to non gpu ops
2025-08-14T22:03:11.6887192Z cudagraph partition due to non gpu ops
2025-08-14T22:03:11.6887462Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6887888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6888256Z     return mod(*inputs)
2025-08-14T22:03:11.6888648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6889052Z     return self._forward_impl(x)
2025-08-14T22:03:11.6889466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl
2025-08-14T22:03:11.6889868Z     x = self.conv1(x)
2025-08-14T22:03:11.6890119Z 
2025-08-14T22:03:11.6890241Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6890671Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6891024Z     return mod(*inputs)
2025-08-14T22:03:11.6891497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6891903Z     return self._forward_impl(x)
2025-08-14T22:03:11.6892279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-08-14T22:03:11.6892659Z     x = self.relu(x)
2025-08-14T22:03:11.6892774Z 
2025-08-14T22:03:11.6892884Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6893289Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6893718Z     return mod(*inputs)
2025-08-14T22:03:11.6894070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6894497Z     return self._forward_impl(x)
2025-08-14T22:03:11.6894882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl
2025-08-14T22:03:11.6895264Z     x = self.maxpool(x)
2025-08-14T22:03:11.6895383Z 
2025-08-14T22:03:11.6895497Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6895897Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6896320Z     return mod(*inputs)
2025-08-14T22:03:11.6896658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6897083Z     return self._forward_impl(x)
2025-08-14T22:03:11.6897471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T22:03:11.6897850Z     x = self.layer1(x)
2025-08-14T22:03:11.6898310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:03:11.6898686Z     out = self.conv1(x)
2025-08-14T22:03:11.6898797Z 
2025-08-14T22:03:11.6898915Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6899300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6899663Z     return mod(*inputs)
2025-08-14T22:03:11.6900009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6900382Z     return self._forward_impl(x)
2025-08-14T22:03:11.6900770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T22:03:11.6901159Z     x = self.layer1(x)
2025-08-14T22:03:11.6901501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-14T22:03:11.6901870Z     out = self.relu(out)
2025-08-14T22:03:11.6902105Z 
2025-08-14T22:03:11.6902221Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6902607Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6902985Z     return mod(*inputs)
2025-08-14T22:03:11.6903343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6903696Z     return self._forward_impl(x)
2025-08-14T22:03:11.6904067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T22:03:11.6904444Z     x = self.layer1(x)
2025-08-14T22:03:11.6904785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:03:11.6905153Z     out = self.conv2(out)
2025-08-14T22:03:11.6905275Z 
2025-08-14T22:03:11.6905391Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6905785Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6906135Z     return mod(*inputs)
2025-08-14T22:03:11.6906483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6906833Z     return self._forward_impl(x)
2025-08-14T22:03:11.6907186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T22:03:11.6907555Z     x = self.layer1(x)
2025-08-14T22:03:11.6907888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-14T22:03:11.6908255Z     out = self.relu(out)
2025-08-14T22:03:11.6908380Z 
2025-08-14T22:03:11.6908493Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6908885Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6909225Z     return mod(*inputs)
2025-08-14T22:03:11.6909570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6909945Z     return self._forward_impl(x)
2025-08-14T22:03:11.6910312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T22:03:11.6910693Z     x = self.layer1(x)
2025-08-14T22:03:11.6911032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:03:11.6911392Z     out = self.conv1(x)
2025-08-14T22:03:11.6911501Z 
2025-08-14T22:03:11.6911612Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6911997Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6912344Z     return mod(*inputs)
2025-08-14T22:03:11.6912721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6913095Z     return self._forward_impl(x)
2025-08-14T22:03:11.6913465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T22:03:11.6913843Z     x = self.layer1(x)
2025-08-14T22:03:11.6914166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-14T22:03:11.6914522Z     out = self.relu(out)
2025-08-14T22:03:11.6914636Z 
2025-08-14T22:03:11.6914750Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6915121Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6915460Z     return mod(*inputs)
2025-08-14T22:03:11.6915792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6916153Z     return self._forward_impl(x)
2025-08-14T22:03:11.6916517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T22:03:11.6916948Z     x = self.layer1(x)
2025-08-14T22:03:11.6917278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:03:11.6917629Z     out = self.conv2(out)
2025-08-14T22:03:11.6917755Z 
2025-08-14T22:03:11.6917861Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6918242Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6918581Z     return mod(*inputs)
2025-08-14T22:03:11.6918912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6919277Z     return self._forward_impl(x)
2025-08-14T22:03:11.6919651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T22:03:11.6920027Z     x = self.layer1(x)
2025-08-14T22:03:11.6920367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-14T22:03:11.6920733Z     out = self.relu(out)
2025-08-14T22:03:11.6920843Z 
2025-08-14T22:03:11.6920960Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6921337Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6921680Z     return mod(*inputs)
2025-08-14T22:03:11.6922021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6922383Z     return self._forward_impl(x)
2025-08-14T22:03:11.6922756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:03:11.6923136Z     x = self.layer2(x)
2025-08-14T22:03:11.6923474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:03:11.6923831Z     out = self.conv1(x)
2025-08-14T22:03:11.6923943Z 
2025-08-14T22:03:11.6924051Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6924438Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6924779Z     return mod(*inputs)
2025-08-14T22:03:11.6925113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6925484Z     return self._forward_impl(x)
2025-08-14T22:03:11.6925857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:03:11.6926227Z     x = self.layer2(x)
2025-08-14T22:03:11.6926558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-14T22:03:11.6926919Z     out = self.relu(out)
2025-08-14T22:03:11.6927030Z 
2025-08-14T22:03:11.6927195Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6927577Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6927918Z     return mod(*inputs)
2025-08-14T22:03:11.6928263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6928626Z     return self._forward_impl(x)
2025-08-14T22:03:11.6929007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:03:11.6929390Z     x = self.layer2(x)
2025-08-14T22:03:11.6929730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:03:11.6930197Z     out = self.conv2(out)
2025-08-14T22:03:11.6930327Z 
2025-08-14T22:03:11.6930443Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6930853Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6931306Z     return mod(*inputs)
2025-08-14T22:03:11.6931682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6932044Z     return self._forward_impl(x)
2025-08-14T22:03:11.6932423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:03:11.6932807Z     x = self.layer2(x)
2025-08-14T22:03:11.6933142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-08-14T22:03:11.6933511Z     identity = self.downsample(x)
2025-08-14T22:03:11.6933656Z 
2025-08-14T22:03:11.6933763Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6934145Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6934492Z     return mod(*inputs)
2025-08-14T22:03:11.6934828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6935204Z     return self._forward_impl(x)
2025-08-14T22:03:11.6935576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:03:11.6935948Z     x = self.layer2(x)
2025-08-14T22:03:11.6936283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-14T22:03:11.6936645Z     out = self.relu(out)
2025-08-14T22:03:11.6936757Z 
2025-08-14T22:03:11.6936872Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6937249Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6937605Z     return mod(*inputs)
2025-08-14T22:03:11.6937924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6938271Z     return self._forward_impl(x)
2025-08-14T22:03:11.6938628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:03:11.6938984Z     x = self.layer2(x)
2025-08-14T22:03:11.6939298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:03:11.6939626Z     out = self.conv1(x)
2025-08-14T22:03:11.6939732Z 
2025-08-14T22:03:11.6939831Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6940205Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6940542Z     return mod(*inputs)
2025-08-14T22:03:11.6940876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6941224Z     return self._forward_impl(x)
2025-08-14T22:03:11.6941619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:03:11.6941971Z     x = self.layer2(x)
2025-08-14T22:03:11.6942280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-14T22:03:11.6942617Z     out = self.relu(out)
2025-08-14T22:03:11.6942722Z 
2025-08-14T22:03:11.6942822Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6943257Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6943588Z     return mod(*inputs)
2025-08-14T22:03:11.6943927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6944292Z     return self._forward_impl(x)
2025-08-14T22:03:11.6944675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:03:11.6945058Z     x = self.layer2(x)
2025-08-14T22:03:11.6945389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:03:11.6945808Z     out = self.conv2(out)
2025-08-14T22:03:11.6945925Z 
2025-08-14T22:03:11.6946041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6946424Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6946749Z     return mod(*inputs)
2025-08-14T22:03:11.6947090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6947459Z     return self._forward_impl(x)
2025-08-14T22:03:11.6947826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:03:11.6948209Z     x = self.layer2(x)
2025-08-14T22:03:11.6948547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-14T22:03:11.6948913Z     out = self.relu(out)
2025-08-14T22:03:11.6949019Z 
2025-08-14T22:03:11.6949126Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6949488Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6949815Z     return mod(*inputs)
2025-08-14T22:03:11.6950131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6950482Z     return self._forward_impl(x)
2025-08-14T22:03:11.6950835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:03:11.6951194Z     x = self.layer3(x)
2025-08-14T22:03:11.6951499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:03:11.6951840Z     out = self.conv1(x)
2025-08-14T22:03:11.6951940Z 
2025-08-14T22:03:11.6952048Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6952404Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6952731Z     return mod(*inputs)
2025-08-14T22:03:11.6953052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6953401Z     return self._forward_impl(x)
2025-08-14T22:03:11.6953747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:03:11.6954104Z     x = self.layer3(x)
2025-08-14T22:03:11.6954417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-14T22:03:11.6954750Z     out = self.relu(out)
2025-08-14T22:03:11.6954862Z 
2025-08-14T22:03:11.6954964Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6955324Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6955695Z     return mod(*inputs)
2025-08-14T22:03:11.6956015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6956367Z     return self._forward_impl(x)
2025-08-14T22:03:11.6956723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:03:11.6957075Z     x = self.layer3(x)
2025-08-14T22:03:11.6957387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:03:11.6957732Z     out = self.conv2(out)
2025-08-14T22:03:11.6957840Z 
2025-08-14T22:03:11.6957950Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6958308Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6958638Z     return mod(*inputs)
2025-08-14T22:03:11.6958971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6959377Z     return self._forward_impl(x)
2025-08-14T22:03:11.6959751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:03:11.6960127Z     x = self.layer3(x)
2025-08-14T22:03:11.6960452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-08-14T22:03:11.6960820Z     identity = self.downsample(x)
2025-08-14T22:03:11.6960961Z 
2025-08-14T22:03:11.6961068Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6961439Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6966223Z     return mod(*inputs)
2025-08-14T22:03:11.6966562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6966921Z     return self._forward_impl(x)
2025-08-14T22:03:11.6967303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:03:11.6967693Z     x = self.layer3(x)
2025-08-14T22:03:11.6968031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-14T22:03:11.6968397Z     out = self.relu(out)
2025-08-14T22:03:11.6968513Z 
2025-08-14T22:03:11.6968625Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6969015Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6969357Z     return mod(*inputs)
2025-08-14T22:03:11.6969690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6970204Z     return self._forward_impl(x)
2025-08-14T22:03:11.6970576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:03:11.6970967Z     x = self.layer3(x)
2025-08-14T22:03:11.6971310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:03:11.6971654Z     out = self.conv1(x)
2025-08-14T22:03:11.6971766Z 
2025-08-14T22:03:11.6971869Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6972231Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6972555Z     return mod(*inputs)
2025-08-14T22:03:11.6972868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6973213Z     return self._forward_impl(x)
2025-08-14T22:03:11.6973561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:03:11.6973909Z     x = self.layer3(x)
2025-08-14T22:03:11.6974337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-14T22:03:11.6974688Z     out = self.relu(out)
2025-08-14T22:03:11.6974799Z 
2025-08-14T22:03:11.6974911Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6975268Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6975599Z     return mod(*inputs)
2025-08-14T22:03:11.6975927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6976274Z     return self._forward_impl(x)
2025-08-14T22:03:11.6976632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:03:11.6976995Z     x = self.layer3(x)
2025-08-14T22:03:11.6977313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:03:11.6977656Z     out = self.conv2(out)
2025-08-14T22:03:11.6977773Z 
2025-08-14T22:03:11.6977880Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6978283Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6978599Z     return mod(*inputs)
2025-08-14T22:03:11.6978919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6979270Z     return self._forward_impl(x)
2025-08-14T22:03:11.6979623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:03:11.6979975Z     x = self.layer3(x)
2025-08-14T22:03:11.6980293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-14T22:03:11.6980726Z     out = self.relu(out)
2025-08-14T22:03:11.6980834Z 
2025-08-14T22:03:11.6980935Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6981300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6981622Z     return mod(*inputs)
2025-08-14T22:03:11.6981944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6982287Z     return self._forward_impl(x)
2025-08-14T22:03:11.6982643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T22:03:11.6983002Z     x = self.layer4(x)
2025-08-14T22:03:11.6983309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:03:11.6983645Z     out = self.conv1(x)
2025-08-14T22:03:11.6983752Z 
2025-08-14T22:03:11.6983856Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6984210Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6984523Z     return mod(*inputs)
2025-08-14T22:03:11.6984846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6985196Z     return self._forward_impl(x)
2025-08-14T22:03:11.6985538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T22:03:11.6985892Z     x = self.layer4(x)
2025-08-14T22:03:11.6986204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-14T22:03:11.6986543Z     out = self.relu(out)
2025-08-14T22:03:11.6986648Z 
2025-08-14T22:03:11.6986749Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6987107Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6987433Z     return mod(*inputs)
2025-08-14T22:03:11.6987743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6988164Z     return self._forward_impl(x)
2025-08-14T22:03:11.6988521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T22:03:11.6988883Z     x = self.layer4(x)
2025-08-14T22:03:11.6989190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:03:11.6989535Z     out = self.conv2(out)
2025-08-14T22:03:11.6989643Z 
2025-08-14T22:03:11.6989753Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6990103Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6990426Z     return mod(*inputs)
2025-08-14T22:03:11.6990744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6991100Z     return self._forward_impl(x)
2025-08-14T22:03:11.6991447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T22:03:11.6991803Z     x = self.layer4(x)
2025-08-14T22:03:11.6992143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-08-14T22:03:11.6992491Z     identity = self.downsample(x)
2025-08-14T22:03:11.6992624Z 
2025-08-14T22:03:11.6992727Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6993082Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6993406Z     return mod(*inputs)
2025-08-14T22:03:11.6993721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6994067Z     return self._forward_impl(x)
2025-08-14T22:03:11.6994463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T22:03:11.6994824Z     x = self.layer4(x)
2025-08-14T22:03:11.6995125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-14T22:03:11.6995459Z     out = self.relu(out)
2025-08-14T22:03:11.6995563Z 
2025-08-14T22:03:11.6995670Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6996012Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6996325Z     return mod(*inputs)
2025-08-14T22:03:11.6996638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6996975Z     return self._forward_impl(x)
2025-08-14T22:03:11.6997310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T22:03:11.6997663Z     x = self.layer4(x)
2025-08-14T22:03:11.6997971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:03:11.6998294Z     out = self.conv1(x)
2025-08-14T22:03:11.6998403Z 
2025-08-14T22:03:11.6998501Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.6998873Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.6999190Z     return mod(*inputs)
2025-08-14T22:03:11.6999500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.6999831Z     return self._forward_impl(x)
2025-08-14T22:03:11.7000180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T22:03:11.7000531Z     x = self.layer4(x)
2025-08-14T22:03:11.7000834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-14T22:03:11.7001157Z     out = self.relu(out)
2025-08-14T22:03:11.7001268Z 
2025-08-14T22:03:11.7001367Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.7001756Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.7002072Z     return mod(*inputs)
2025-08-14T22:03:11.7002395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.7002743Z     return self._forward_impl(x)
2025-08-14T22:03:11.7003100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T22:03:11.7003461Z     x = self.layer4(x)
2025-08-14T22:03:11.7003784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:03:11.7004140Z     out = self.conv2(out)
2025-08-14T22:03:11.7004256Z 
2025-08-14T22:03:11.7004393Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.7004763Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.7005094Z     return mod(*inputs)
2025-08-14T22:03:11.7005421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.7005784Z     return self._forward_impl(x)
2025-08-14T22:03:11.7006131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl
2025-08-14T22:03:11.7006500Z     x = self.avgpool(x)
2025-08-14T22:03:11.7006605Z 
2025-08-14T22:03:11.7006719Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:11.7007087Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:11.7007426Z     return mod(*inputs)
2025-08-14T22:03:11.7007763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:03:11.7008161Z     return self._forward_impl(x)
2025-08-14T22:03:11.7008531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 280, in _forward_impl
2025-08-14T22:03:11.7008907Z     x = self.fc(x)
2025-08-14T22:03:11.7009008Z 
2025-08-14T22:03:20.8287053Z Compilation time (from dynamo_timed): 17.427786957
2025-08-14T22:03:20.8288537Z pass
2025-08-14T22:03:20.8290204Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:03:20.8291665Z TIMING: _recursive_pre_grad_passes:0.00472 _recursive_joint_graph_passes:0.18522 _recursive_post_grad_passes:0.05154 async_compile.wait:0.82784 code_gen:9.08786 inductor_compile:10.95158 backend_compile:14.93546 gc:0.00111 entire_frame_compile:17.42779 total_wall_time:17.42779
2025-08-14T22:03:20.8297983Z STATS: call_* op count: 69 | FakeTensorMode.__torch_dispatch__:4201 | FakeTensor.__torch_dispatch__:2630 | attempt fast:90 | fast is_contiguous:86 | slow both tensors nontrivially broadcast:4 | ProxyTorchDispatchMode.__torch_dispatch__:1258
2025-08-14T22:03:20.8299385Z Dynamo produced 1 graphs covering 69 ops with 0 graph breaks (0 unique)
2025-08-14T22:03:24.9734771Z 
2025-08-14T22:03:25.1657824Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:03:25.1659464Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:03:25.1659839Z cpu  eval  functorch_maml_omniglot            
2025-08-14T22:03:25.1698374Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:03:25.1741513Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:03:25.1776550Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:03:27.5935860Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:27.5941036Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:27.5942241Z     return mod(*inputs)
2025-08-14T22:03:27.5942363Z 
2025-08-14T22:03:27.5942703Z cudagraph partition due to non gpu ops
2025-08-14T22:03:27.5943388Z cudagraph partition due to non gpu ops
2025-08-14T22:03:27.5943634Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:27.5944043Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:27.5944398Z     return mod(*inputs)
2025-08-14T22:03:27.5944516Z 
2025-08-14T22:03:27.5944635Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:27.5945041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:27.5945374Z     return mod(*inputs)
2025-08-14T22:03:27.5945481Z 
2025-08-14T22:03:27.5945594Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:27.5945952Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:27.5946295Z     return mod(*inputs)
2025-08-14T22:03:27.5946404Z 
2025-08-14T22:03:27.5946506Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:27.5946879Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:27.5947255Z     return mod(*inputs)
2025-08-14T22:03:27.5947364Z 
2025-08-14T22:03:27.5947467Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:27.5947827Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:27.5948258Z     return mod(*inputs)
2025-08-14T22:03:27.5948370Z 
2025-08-14T22:03:27.5948485Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:27.5948837Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:27.5949160Z     return mod(*inputs)
2025-08-14T22:03:27.5949259Z 
2025-08-14T22:03:27.5949450Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:27.5949795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:27.5950107Z     return mod(*inputs)
2025-08-14T22:03:27.5950203Z 
2025-08-14T22:03:27.5950312Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:27.5950651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:27.5950959Z     return mod(*inputs)
2025-08-14T22:03:27.5951057Z 
2025-08-14T22:03:27.5951164Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:27.5951498Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:03:27.5951813Z     return mod(*inputs)
2025-08-14T22:03:27.5951918Z 
2025-08-14T22:03:34.3762412Z Compilation time (from dynamo_timed): 8.275687226
2025-08-14T22:03:34.3767051Z pass
2025-08-14T22:03:34.3767740Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:03:34.3768633Z TIMING: _recursive_pre_grad_passes:0.00324 _recursive_joint_graph_passes:0.31493 _recursive_post_grad_passes:0.02071 async_compile.wait:0.80771 code_gen:6.7665 inductor_compile:6.90386 backend_compile:7.98277 gc:0.00094 entire_frame_compile:8.27569 total_wall_time:8.27569
2025-08-14T22:03:34.3769612Z STATS: call_* op count: 14 | FakeTensor.__torch_dispatch__:329 | FakeTensorMode.__torch_dispatch__:1194 | ProxyTorchDispatchMode.__torch_dispatch__:289
2025-08-14T22:03:34.3770361Z Dynamo produced 1 graphs covering 14 ops with 0 graph breaks (0 unique)
2025-08-14T22:03:38.2020118Z 
2025-08-14T22:03:38.8794119Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:03:38.8794354Z 
2025-08-14T22:03:38.8847633Z config.json:   0% 0.00/684 [00:00<?, ?B/s]
2025-08-14T22:03:38.8851536Z config.json: 100% 684/684 [00:00<00:00, 150kB/s]
2025-08-14T22:03:40.0726263Z 
2025-08-14T22:03:40.0727158Z loading model: 0it [00:01, ?it/s]
2025-08-14T22:03:40.0730698Z cpu  eval  hf_Albert                          
2025-08-14T22:03:41.2200922Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:03:41.7745390Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:03:42.3278797Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:03:57.1001153Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1001711Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1002096Z     return mod(**inputs)
2025-08-14T22:03:57.1002558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1003027Z     outputs = self.albert(
2025-08-14T22:03:57.1003466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 700, in forward
2025-08-14T22:03:57.1003962Z     embedding_output = self.embeddings(
2025-08-14T22:03:57.1004426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 239, in forward
2025-08-14T22:03:57.1005330Z     embeddings += position_embeddings
2025-08-14T22:03:57.1005558Z 
2025-08-14T22:03:57.1005663Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1005915Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1006159Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1006392Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1006632Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1006861Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1007101Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1007334Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1007559Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1007889Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1008118Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1008340Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1008605Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1009017Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1009374Z     return mod(**inputs)
2025-08-14T22:03:57.1009801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1010425Z     outputs = self.albert(
2025-08-14T22:03:57.1010847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1011297Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1011779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 520, in forward
2025-08-14T22:03:57.1012355Z     hidden_states = self.embedding_hidden_mapping_in(hidden_states)
2025-08-14T22:03:57.1012560Z 
2025-08-14T22:03:57.1012770Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1013180Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1013608Z     return mod(**inputs)
2025-08-14T22:03:57.1014016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1014455Z     outputs = self.albert(
2025-08-14T22:03:57.1014873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1015317Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1015744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1016235Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1016720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1017412Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1017990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1018550Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1019126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-14T22:03:57.1019570Z     self.query(hidden_states)
2025-08-14T22:03:57.1019704Z 
2025-08-14T22:03:57.1019821Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1020247Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1020613Z     return mod(**inputs)
2025-08-14T22:03:57.1021041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1021462Z     outputs = self.albert(
2025-08-14T22:03:57.1021905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1022344Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1022770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1023250Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1023725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1024267Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1024849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1025396Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1025976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-14T22:03:57.1026404Z     self.key(hidden_states)
2025-08-14T22:03:57.1026530Z 
2025-08-14T22:03:57.1026655Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1027050Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1027438Z     return mod(**inputs)
2025-08-14T22:03:57.1027852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1028286Z     outputs = self.albert(
2025-08-14T22:03:57.1028705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1029152Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1029568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1030051Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1030512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1031060Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1031623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1032183Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1032737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-14T22:03:57.1033218Z     self.value(hidden_states)
2025-08-14T22:03:57.1033358Z 
2025-08-14T22:03:57.1033449Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1033713Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1034103Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1034451Z     return mod(**inputs)
2025-08-14T22:03:57.1034868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1035289Z     outputs = self.albert(
2025-08-14T22:03:57.1035680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1036106Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1036524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1036979Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1037452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1038011Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1038591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1039155Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1039703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:03:57.1040235Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:03:57.1040459Z 
2025-08-14T22:03:57.1040575Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1040969Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1041316Z     return mod(**inputs)
2025-08-14T22:03:57.1041718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1042141Z     outputs = self.albert(
2025-08-14T22:03:57.1042536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1042962Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1043387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1043862Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1044321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1044882Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1045441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1045987Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1046527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-14T22:03:57.1046990Z     projected_context_layer = self.dense(attention_output)
2025-08-14T22:03:57.1047170Z 
2025-08-14T22:03:57.1047292Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1047684Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1048027Z     return mod(**inputs)
2025-08-14T22:03:57.1048467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1048900Z     outputs = self.albert(
2025-08-14T22:03:57.1049297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1049741Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1050292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1050784Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1051245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1051814Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1052403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1052850Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1053327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1053774Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1054215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-14T22:03:57.1054655Z     ffn_output = self.ffn(attention_output)
2025-08-14T22:03:57.1054816Z 
2025-08-14T22:03:57.1054930Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1055327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1055725Z     return mod(**inputs)
2025-08-14T22:03:57.1056135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1056562Z     outputs = self.albert(
2025-08-14T22:03:57.1056962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1057383Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1057825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1058293Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1058755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1059308Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1059871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1060306Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1060749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1061178Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1061608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:03:57.1062363Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:03:57.1062772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:03:57.1063276Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:03:57.1063542Z 
2025-08-14T22:03:57.1063664Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1064069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1064419Z     return mod(**inputs)
2025-08-14T22:03:57.1064954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1065395Z     outputs = self.albert(
2025-08-14T22:03:57.1065806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1066238Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1066671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1067153Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1067630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1068194Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1068767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1069240Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1069659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1070130Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1070549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-14T22:03:57.1070980Z     ffn_output = self.ffn_output(ffn_output)
2025-08-14T22:03:57.1071127Z 
2025-08-14T22:03:57.1071238Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1071666Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1072016Z     return mod(**inputs)
2025-08-14T22:03:57.1072425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1072847Z     outputs = self.albert(
2025-08-14T22:03:57.1073257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1073709Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1074135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1074625Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1075102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1075686Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1076274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1076837Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1077418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-14T22:03:57.1077862Z     self.query(hidden_states)
2025-08-14T22:03:57.1077993Z 
2025-08-14T22:03:57.1078109Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1078507Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1078865Z     return mod(**inputs)
2025-08-14T22:03:57.1079283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1079714Z     outputs = self.albert(
2025-08-14T22:03:57.1080118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1080599Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1081014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1081481Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1081944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1082500Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1083047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1083603Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1084160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-14T22:03:57.1084586Z     self.key(hidden_states)
2025-08-14T22:03:57.1084739Z 
2025-08-14T22:03:57.1084850Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1085239Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1085592Z     return mod(**inputs)
2025-08-14T22:03:57.1085983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1086409Z     outputs = self.albert(
2025-08-14T22:03:57.1086811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1087262Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1087673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1088140Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1088612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1089162Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1089714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1090446Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1091018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-14T22:03:57.1091441Z     self.value(hidden_states)
2025-08-14T22:03:57.1091577Z 
2025-08-14T22:03:57.1091668Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1091933Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1092327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1092674Z     return mod(**inputs)
2025-08-14T22:03:57.1093098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1093523Z     outputs = self.albert(
2025-08-14T22:03:57.1093922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1094365Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1094789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1095278Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1095759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1096368Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1096948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1097496Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1098056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:03:57.1098563Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:03:57.1098791Z 
2025-08-14T22:03:57.1098910Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1099294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1099629Z     return mod(**inputs)
2025-08-14T22:03:57.1100016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1100457Z     outputs = self.albert(
2025-08-14T22:03:57.1100837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1101255Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1101665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1102116Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1102563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1103134Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1103689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1104250Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1104784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-14T22:03:57.1105242Z     projected_context_layer = self.dense(attention_output)
2025-08-14T22:03:57.1105417Z 
2025-08-14T22:03:57.1105538Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1105923Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1106264Z     return mod(**inputs)
2025-08-14T22:03:57.1106657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1107073Z     outputs = self.albert(
2025-08-14T22:03:57.1107460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1107881Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1108293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1108747Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1109194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1109741Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1110292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1110721Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1111141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1111606Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1112031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-14T22:03:57.1112456Z     ffn_output = self.ffn(attention_output)
2025-08-14T22:03:57.1112613Z 
2025-08-14T22:03:57.1112725Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1113106Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1113457Z     return mod(**inputs)
2025-08-14T22:03:57.1113839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1114252Z     outputs = self.albert(
2025-08-14T22:03:57.1114645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1115059Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1115473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1115960Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1116421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1116968Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1117514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1117939Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1118416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1118829Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1119253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:03:57.1119687Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:03:57.1120060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:03:57.1120549Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:03:57.1120805Z 
2025-08-14T22:03:57.1120916Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1121300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1121635Z     return mod(**inputs)
2025-08-14T22:03:57.1122031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1122450Z     outputs = self.albert(
2025-08-14T22:03:57.1122846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1123259Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1123670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1124129Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1124576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1125125Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1125669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1126096Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1126562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1126995Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1127432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-14T22:03:57.1127870Z     ffn_output = self.ffn_output(ffn_output)
2025-08-14T22:03:57.1128019Z 
2025-08-14T22:03:57.1128130Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1128515Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1128863Z     return mod(**inputs)
2025-08-14T22:03:57.1129247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1129723Z     outputs = self.albert(
2025-08-14T22:03:57.1130241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1130735Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1131164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1131626Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1132089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1132644Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1133186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1133756Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1134296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-14T22:03:57.1134715Z     self.query(hidden_states)
2025-08-14T22:03:57.1134837Z 
2025-08-14T22:03:57.1134950Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1135332Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1135680Z     return mod(**inputs)
2025-08-14T22:03:57.1136068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1136485Z     outputs = self.albert(
2025-08-14T22:03:57.1136875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1137295Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1137693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1138139Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1138599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1139145Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1139678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1140201Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1140736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-14T22:03:57.1141116Z     self.key(hidden_states)
2025-08-14T22:03:57.1141237Z 
2025-08-14T22:03:57.1141339Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1141758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1142089Z     return mod(**inputs)
2025-08-14T22:03:57.1142453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1142849Z     outputs = self.albert(
2025-08-14T22:03:57.1143225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1143625Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1144010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1144447Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1144880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1145394Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1145944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1146453Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1146960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-14T22:03:57.1147345Z     self.value(hidden_states)
2025-08-14T22:03:57.1147470Z 
2025-08-14T22:03:57.1147555Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1147802Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1148195Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1148513Z     return mod(**inputs)
2025-08-14T22:03:57.1148884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1149277Z     outputs = self.albert(
2025-08-14T22:03:57.1149638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1150032Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1150419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1150848Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1151271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1151789Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1152302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1152809Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1153315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:03:57.1153808Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:03:57.1154020Z 
2025-08-14T22:03:57.1154136Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1154517Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1154853Z     return mod(**inputs)
2025-08-14T22:03:57.1155240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1155655Z     outputs = self.albert(
2025-08-14T22:03:57.1156089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1156517Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1156929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1157388Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1157835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1158379Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1158922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1159472Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1160005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-14T22:03:57.1160489Z     projected_context_layer = self.dense(attention_output)
2025-08-14T22:03:57.1160665Z 
2025-08-14T22:03:57.1160784Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1161158Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1161498Z     return mod(**inputs)
2025-08-14T22:03:57.1161886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1162479Z     outputs = self.albert(
2025-08-14T22:03:57.1162870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1163366Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1163781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1164236Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1164690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1165237Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1165785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1166214Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1166649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1167084Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1167517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-14T22:03:57.1167947Z     ffn_output = self.ffn(attention_output)
2025-08-14T22:03:57.1168106Z 
2025-08-14T22:03:57.1168218Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1168608Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1168958Z     return mod(**inputs)
2025-08-14T22:03:57.1169348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1169767Z     outputs = self.albert(
2025-08-14T22:03:57.1170253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1170692Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1171154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1171783Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1172251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1172794Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1173351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1173760Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1174181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1174613Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1175016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:03:57.1175430Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:03:57.1175792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:03:57.1176337Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:03:57.1176595Z 
2025-08-14T22:03:57.1176708Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1177090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1177427Z     return mod(**inputs)
2025-08-14T22:03:57.1177816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1178230Z     outputs = self.albert(
2025-08-14T22:03:57.1178650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1179059Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1179478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1179935Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1180380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1180921Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1181462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1181882Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1182297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1182724Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1183144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-14T22:03:57.1183575Z     ffn_output = self.ffn_output(ffn_output)
2025-08-14T22:03:57.1183724Z 
2025-08-14T22:03:57.1183835Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1184214Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1184555Z     return mod(**inputs)
2025-08-14T22:03:57.1184936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1185350Z     outputs = self.albert(
2025-08-14T22:03:57.1185737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1186151Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1186606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1187073Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1187536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1188090Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1188633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1189175Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1189715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-14T22:03:57.1190137Z     self.query(hidden_states)
2025-08-14T22:03:57.1190259Z 
2025-08-14T22:03:57.1190367Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1190756Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1191131Z     return mod(**inputs)
2025-08-14T22:03:57.1191514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1191933Z     outputs = self.albert(
2025-08-14T22:03:57.1192328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1192747Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1193159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1193701Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1194157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1194701Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1195252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1195796Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1196335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-14T22:03:57.1196742Z     self.key(hidden_states)
2025-08-14T22:03:57.1196871Z 
2025-08-14T22:03:57.1196981Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1197366Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1197714Z     return mod(**inputs)
2025-08-14T22:03:57.1198099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1198514Z     outputs = self.albert(
2025-08-14T22:03:57.1198907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1199320Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1199731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1200193Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1200650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1201189Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1201742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1202329Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1202873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-14T22:03:57.1203282Z     self.value(hidden_states)
2025-08-14T22:03:57.1203411Z 
2025-08-14T22:03:57.1203498Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1203756Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1204141Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1204479Z     return mod(**inputs)
2025-08-14T22:03:57.1204873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1205291Z     outputs = self.albert(
2025-08-14T22:03:57.1205679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1206125Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1206536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1206992Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1207440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1207984Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1208532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1209100Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1209632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:03:57.1210251Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:03:57.1210477Z 
2025-08-14T22:03:57.1210600Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1210992Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1211357Z     return mod(**inputs)
2025-08-14T22:03:57.1211757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1212184Z     outputs = self.albert(
2025-08-14T22:03:57.1212572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1212997Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1213417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1213882Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1214336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1214887Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1215435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1215981Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1216511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-14T22:03:57.1216971Z     projected_context_layer = self.dense(attention_output)
2025-08-14T22:03:57.1217147Z 
2025-08-14T22:03:57.1217588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1217971Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1218318Z     return mod(**inputs)
2025-08-14T22:03:57.1218707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1219174Z     outputs = self.albert(
2025-08-14T22:03:57.1219555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1219970Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1220382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1220840Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1221289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1221861Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1222404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1222822Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1223253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1223678Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1224097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-14T22:03:57.1224544Z     ffn_output = self.ffn(attention_output)
2025-08-14T22:03:57.1224695Z 
2025-08-14T22:03:57.1224805Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1225190Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1225535Z     return mod(**inputs)
2025-08-14T22:03:57.1225914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1226321Z     outputs = self.albert(
2025-08-14T22:03:57.1226712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1227119Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1227526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1227955Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1228384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1228891Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1229404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1229805Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1230206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1230597Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1230991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:03:57.1231402Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:03:57.1231762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:03:57.1232310Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:03:57.1232570Z 
2025-08-14T22:03:57.1232682Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1233069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1233406Z     return mod(**inputs)
2025-08-14T22:03:57.1233801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1234218Z     outputs = self.albert(
2025-08-14T22:03:57.1234611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1235025Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1235443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1235905Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1236359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1236942Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1237497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1237928Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1238352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1238784Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1239211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-14T22:03:57.1239670Z     ffn_output = self.ffn_output(ffn_output)
2025-08-14T22:03:57.1239818Z 
2025-08-14T22:03:57.1239929Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1240314Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1240658Z     return mod(**inputs)
2025-08-14T22:03:57.1241039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1241449Z     outputs = self.albert(
2025-08-14T22:03:57.1241845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1242265Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1242671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1243128Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1243588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1244143Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1244684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1245230Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1245769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-14T22:03:57.1246190Z     self.query(hidden_states)
2025-08-14T22:03:57.1246313Z 
2025-08-14T22:03:57.1246424Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1246810Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1247155Z     return mod(**inputs)
2025-08-14T22:03:57.1247589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1248013Z     outputs = self.albert(
2025-08-14T22:03:57.1248411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1248835Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1249242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1249703Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1250252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1250803Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1251375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1251984Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1252540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-14T22:03:57.1252961Z     self.key(hidden_states)
2025-08-14T22:03:57.1253098Z 
2025-08-14T22:03:57.1253211Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1253602Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1253953Z     return mod(**inputs)
2025-08-14T22:03:57.1254357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1254814Z     outputs = self.albert(
2025-08-14T22:03:57.1255235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1255673Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1256103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1256574Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1257045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1257604Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1258171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1258735Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1259291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-14T22:03:57.1259715Z     self.value(hidden_states)
2025-08-14T22:03:57.1259844Z 
2025-08-14T22:03:57.1259934Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1260196Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1260593Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1260959Z     return mod(**inputs)
2025-08-14T22:03:57.1261358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1261783Z     outputs = self.albert(
2025-08-14T22:03:57.1278210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1278739Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1279384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1279847Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1280301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1280825Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1281361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1281883Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1282406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:03:57.1282881Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:03:57.1283103Z 
2025-08-14T22:03:57.1283227Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1283660Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1284000Z     return mod(**inputs)
2025-08-14T22:03:57.1284375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1284778Z     outputs = self.albert(
2025-08-14T22:03:57.1285160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1285559Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1285957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1286448Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1286882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1287392Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1287905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1288409Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1288929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-14T22:03:57.1289376Z     projected_context_layer = self.dense(attention_output)
2025-08-14T22:03:57.1289560Z 
2025-08-14T22:03:57.1289676Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1290158Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1290551Z     return mod(**inputs)
2025-08-14T22:03:57.1290945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1291369Z     outputs = self.albert(
2025-08-14T22:03:57.1291765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1292187Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1292606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1293071Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1293533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1294081Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1294680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1295117Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1295556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1295975Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1296398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-14T22:03:57.1296828Z     ffn_output = self.ffn(attention_output)
2025-08-14T22:03:57.1296977Z 
2025-08-14T22:03:57.1297090Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1297479Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1297824Z     return mod(**inputs)
2025-08-14T22:03:57.1298220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1298654Z     outputs = self.albert(
2025-08-14T22:03:57.1299047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1299464Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1299870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1300329Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1300786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1301327Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1301876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1302280Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1302688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1303087Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1303476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:03:57.1303904Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:03:57.1304286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:03:57.1304768Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:03:57.1305031Z 
2025-08-14T22:03:57.1305148Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1305554Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1305913Z     return mod(**inputs)
2025-08-14T22:03:57.1306314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1306742Z     outputs = self.albert(
2025-08-14T22:03:57.1307153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1307584Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1307998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1308466Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1308941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1309547Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1310118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1310560Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1310999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1311432Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1311865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-14T22:03:57.1312297Z     ffn_output = self.ffn_output(ffn_output)
2025-08-14T22:03:57.1312446Z 
2025-08-14T22:03:57.1312569Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1312946Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1313293Z     return mod(**inputs)
2025-08-14T22:03:57.1313686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1314116Z     outputs = self.albert(
2025-08-14T22:03:57.1314510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1314936Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1315357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1315818Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1316287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1316879Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1317440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1317993Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1318553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-14T22:03:57.1318984Z     self.query(hidden_states)
2025-08-14T22:03:57.1319112Z 
2025-08-14T22:03:57.1319233Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1319620Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1319975Z     return mod(**inputs)
2025-08-14T22:03:57.1320377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1320801Z     outputs = self.albert(
2025-08-14T22:03:57.1321211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1321640Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1322064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1322523Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1322994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1323554Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1324112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1324664Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1325266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-14T22:03:57.1325696Z     self.key(hidden_states)
2025-08-14T22:03:57.1325820Z 
2025-08-14T22:03:57.1325934Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1326328Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1326680Z     return mod(**inputs)
2025-08-14T22:03:57.1327079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1327492Z     outputs = self.albert(
2025-08-14T22:03:57.1327895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1328324Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1328750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1329213Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1329701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1330405Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1330969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1331525Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1332079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-14T22:03:57.1332547Z     self.value(hidden_states)
2025-08-14T22:03:57.1332675Z 
2025-08-14T22:03:57.1332767Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1333040Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1333439Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1333792Z     return mod(**inputs)
2025-08-14T22:03:57.1334193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1334616Z     outputs = self.albert(
2025-08-14T22:03:57.1335020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1335444Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1335871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1336347Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1336819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1337380Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1337948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1338500Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1339060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:03:57.1339558Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:03:57.1339788Z 
2025-08-14T22:03:57.1339905Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1340298Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1340649Z     return mod(**inputs)
2025-08-14T22:03:57.1341090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1341515Z     outputs = self.albert(
2025-08-14T22:03:57.1341913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1342343Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1342762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1343238Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1343703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1344251Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1344816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1345394Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1345941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-14T22:03:57.1346411Z     projected_context_layer = self.dense(attention_output)
2025-08-14T22:03:57.1346601Z 
2025-08-14T22:03:57.1346717Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1347114Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1347459Z     return mod(**inputs)
2025-08-14T22:03:57.1347886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1348320Z     outputs = self.albert(
2025-08-14T22:03:57.1348725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1349145Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1349570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1350058Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1350529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1351090Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1351657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1352110Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1352553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1352995Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1353427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-14T22:03:57.1353871Z     ffn_output = self.ffn(attention_output)
2025-08-14T22:03:57.1354019Z 
2025-08-14T22:03:57.1354135Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1354534Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1354885Z     return mod(**inputs)
2025-08-14T22:03:57.1355292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1355721Z     outputs = self.albert(
2025-08-14T22:03:57.1356171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1356614Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1357032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1357512Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1357981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1358538Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1359105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1359555Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1360005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1360439Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1360896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:03:57.1361348Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:03:57.1361737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:03:57.1362430Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:03:57.1362699Z 
2025-08-14T22:03:57.1362816Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1363211Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1363645Z     return mod(**inputs)
2025-08-14T22:03:57.1364043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1364484Z     outputs = self.albert(
2025-08-14T22:03:57.1364895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1365333Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1365751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1366229Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1366700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1367269Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1367833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1368275Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1368714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1369149Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1369584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-14T22:03:57.1370097Z     ffn_output = self.ffn_output(ffn_output)
2025-08-14T22:03:57.1370254Z 
2025-08-14T22:03:57.1370380Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1370767Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1371126Z     return mod(**inputs)
2025-08-14T22:03:57.1371535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1371956Z     outputs = self.albert(
2025-08-14T22:03:57.1372436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1372875Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1373296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1373759Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1374229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1374793Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1375362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1375914Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1376477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-14T22:03:57.1376942Z     self.query(hidden_states)
2025-08-14T22:03:57.1377077Z 
2025-08-14T22:03:57.1377198Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1377574Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1377918Z     return mod(**inputs)
2025-08-14T22:03:57.1378309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1378709Z     outputs = self.albert(
2025-08-14T22:03:57.1379104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1379540Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1379954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1380403Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1380860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1381404Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1381950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1382482Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1383017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-14T22:03:57.1383432Z     self.key(hidden_states)
2025-08-14T22:03:57.1383552Z 
2025-08-14T22:03:57.1383673Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1384051Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1384394Z     return mod(**inputs)
2025-08-14T22:03:57.1384782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1385183Z     outputs = self.albert(
2025-08-14T22:03:57.1385575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1385992Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1386402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1386850Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1387342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1387886Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1388419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1388954Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1389490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-14T22:03:57.1389899Z     self.value(hidden_states)
2025-08-14T22:03:57.1390022Z 
2025-08-14T22:03:57.1390108Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1390370Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1390749Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1391088Z     return mod(**inputs)
2025-08-14T22:03:57.1391470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1391908Z     outputs = self.albert(
2025-08-14T22:03:57.1392339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1392754Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1393169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1393622Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1394075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1394646Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1395201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1395750Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1396293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:03:57.1396788Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:03:57.1397009Z 
2025-08-14T22:03:57.1397122Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1397512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1397863Z     return mod(**inputs)
2025-08-14T22:03:57.1398250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1398670Z     outputs = self.albert(
2025-08-14T22:03:57.1399071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1399487Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1399904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1400370Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1400832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1401377Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1401930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1402472Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1403081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-14T22:03:57.1403533Z     projected_context_layer = self.dense(attention_output)
2025-08-14T22:03:57.1403720Z 
2025-08-14T22:03:57.1403833Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1404216Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1404547Z     return mod(**inputs)
2025-08-14T22:03:57.1404937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1405350Z     outputs = self.albert(
2025-08-14T22:03:57.1405741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1406147Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1406560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1407043Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1407499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1408035Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1408578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1409008Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1409430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1409950Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1410402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-14T22:03:57.1410848Z     ffn_output = self.ffn(attention_output)
2025-08-14T22:03:57.1410998Z 
2025-08-14T22:03:57.1411127Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1411510Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1411858Z     return mod(**inputs)
2025-08-14T22:03:57.1412248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1412656Z     outputs = self.albert(
2025-08-14T22:03:57.1413047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1413469Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1413875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1414328Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1414782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1415326Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1415862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1416289Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1416717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1417143Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1417556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:03:57.1418039Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:03:57.1418426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:03:57.1418902Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:03:57.1419159Z 
2025-08-14T22:03:57.1419271Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1419663Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1420014Z     return mod(**inputs)
2025-08-14T22:03:57.1420402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1420825Z     outputs = self.albert(
2025-08-14T22:03:57.1421224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1421656Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1422107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1422572Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1423008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1423524Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1424047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1424469Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1424874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1425272Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1425673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-14T22:03:57.1426084Z     ffn_output = self.ffn_output(ffn_output)
2025-08-14T22:03:57.1426223Z 
2025-08-14T22:03:57.1426336Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1426690Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1427013Z     return mod(**inputs)
2025-08-14T22:03:57.1427383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1427765Z     outputs = self.albert(
2025-08-14T22:03:57.1428139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1428533Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1428920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1429342Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1429768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1430284Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1430796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1431298Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1431804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-14T22:03:57.1432194Z     self.query(hidden_states)
2025-08-14T22:03:57.1432310Z 
2025-08-14T22:03:57.1432461Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1432823Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1433149Z     return mod(**inputs)
2025-08-14T22:03:57.1433521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1433907Z     outputs = self.albert(
2025-08-14T22:03:57.1434281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1434679Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1435077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1435509Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1435948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1436492Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1437011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1437512Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1438023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-14T22:03:57.1438416Z     self.key(hidden_states)
2025-08-14T22:03:57.1438530Z 
2025-08-14T22:03:57.1438658Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1439027Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1439354Z     return mod(**inputs)
2025-08-14T22:03:57.1439732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1440119Z     outputs = self.albert(
2025-08-14T22:03:57.1440495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1440895Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1441298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1441727Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1442164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1442692Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1443217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1443728Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1444237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-14T22:03:57.1444630Z     self.value(hidden_states)
2025-08-14T22:03:57.1444746Z 
2025-08-14T22:03:57.1444830Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1445080Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1445445Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1445774Z     return mod(**inputs)
2025-08-14T22:03:57.1446141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1446537Z     outputs = self.albert(
2025-08-14T22:03:57.1446950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1447369Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1447782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1448242Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1448698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1449239Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1449792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1450430Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1451005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:03:57.1451538Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:03:57.1451764Z 
2025-08-14T22:03:57.1451879Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1452275Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1452632Z     return mod(**inputs)
2025-08-14T22:03:57.1453048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1453477Z     outputs = self.albert(
2025-08-14T22:03:57.1453935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1454367Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1454797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1455270Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1455739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1456295Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1456855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1457410Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1457967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-14T22:03:57.1458428Z     projected_context_layer = self.dense(attention_output)
2025-08-14T22:03:57.1458624Z 
2025-08-14T22:03:57.1458740Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1459132Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1459484Z     return mod(**inputs)
2025-08-14T22:03:57.1459879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1460305Z     outputs = self.albert(
2025-08-14T22:03:57.1460704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1461125Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1461547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1462178Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1462761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1463325Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1463899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1464326Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1464762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1465183Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1465611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-14T22:03:57.1465703Z     ffn_output = self.ffn(attention_output)
2025-08-14T22:03:57.1465707Z 
2025-08-14T22:03:57.1465831Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1466044Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1466165Z     return mod(**inputs)
2025-08-14T22:03:57.1466440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1466513Z     outputs = self.albert(
2025-08-14T22:03:57.1466803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1466883Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1467165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1467322Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1467601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1467818Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1468094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1468180Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1468474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1468557Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1468842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:03:57.1468932Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:03:57.1469148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:03:57.1469343Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:03:57.1469348Z 
2025-08-14T22:03:57.1469456Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1469660Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1469734Z     return mod(**inputs)
2025-08-14T22:03:57.1469996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1470072Z     outputs = self.albert(
2025-08-14T22:03:57.1470331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1470406Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1470674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1470838Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1471104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1471299Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1471557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1471647Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1471909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1471986Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1472255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-14T22:03:57.1472341Z     ffn_output = self.ffn_output(ffn_output)
2025-08-14T22:03:57.1472345Z 
2025-08-14T22:03:57.1472478Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1472677Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1472743Z     return mod(**inputs)
2025-08-14T22:03:57.1473008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1473077Z     outputs = self.albert(
2025-08-14T22:03:57.1473345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1473417Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1473694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1473813Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1474071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1474268Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1474532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1474721Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1474984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-14T22:03:57.1475057Z     self.query(hidden_states)
2025-08-14T22:03:57.1475062Z 
2025-08-14T22:03:57.1475167Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1475375Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1475442Z     return mod(**inputs)
2025-08-14T22:03:57.1475714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1475783Z     outputs = self.albert(
2025-08-14T22:03:57.1476039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1476122Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1476380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1476499Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1476757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1476954Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1477254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1477444Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1477700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-14T22:03:57.1477779Z     self.key(hidden_states)
2025-08-14T22:03:57.1477782Z 
2025-08-14T22:03:57.1477885Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1478092Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1478159Z     return mod(**inputs)
2025-08-14T22:03:57.1478418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1478495Z     outputs = self.albert(
2025-08-14T22:03:57.1478753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1478858Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1479115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1479225Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1479490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1479688Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1479952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1480168Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1480428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-14T22:03:57.1480507Z     self.value(hidden_states)
2025-08-14T22:03:57.1480510Z 
2025-08-14T22:03:57.1480593Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1480696Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1480904Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1480969Z     return mod(**inputs)
2025-08-14T22:03:57.1481235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1481303Z     outputs = self.albert(
2025-08-14T22:03:57.1481561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1481643Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1481905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1482015Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1482282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1482477Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1482742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1482929Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1483188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:03:57.1483378Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:03:57.1483382Z 
2025-08-14T22:03:57.1483489Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1483697Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1483764Z     return mod(**inputs)
2025-08-14T22:03:57.1484024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1484102Z     outputs = self.albert(
2025-08-14T22:03:57.1484356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1484435Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1484691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1484800Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1485065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1485283Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1485538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1485733Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1485987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-14T22:03:57.1486102Z     projected_context_layer = self.dense(attention_output)
2025-08-14T22:03:57.1486126Z 
2025-08-14T22:03:57.1486231Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1486429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1486502Z     return mod(**inputs)
2025-08-14T22:03:57.1486757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1486830Z     outputs = self.albert(
2025-08-14T22:03:57.1487084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1487156Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1487418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1487525Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1487790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1487988Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1488244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1488337Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1488598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1488676Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1488945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-14T22:03:57.1489027Z     ffn_output = self.ffn(attention_output)
2025-08-14T22:03:57.1489031Z 
2025-08-14T22:03:57.1489144Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1489344Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1489411Z     return mod(**inputs)
2025-08-14T22:03:57.1489709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1489781Z     outputs = self.albert(
2025-08-14T22:03:57.1490143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1490227Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1490528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1490653Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1490930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1491153Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1491431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1491551Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1491840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1491924Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1492207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:03:57.1492310Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:03:57.1492540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:03:57.1492764Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:03:57.1492768Z 
2025-08-14T22:03:57.1492881Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1493094Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1493176Z     return mod(**inputs)
2025-08-14T22:03:57.1493451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1493525Z     outputs = self.albert(
2025-08-14T22:03:57.1493803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1493880Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1494157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1494275Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1494546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1494762Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1495034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1495128Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1495404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1495485Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1495769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-14T22:03:57.1495857Z     ffn_output = self.ffn_output(ffn_output)
2025-08-14T22:03:57.1495863Z 
2025-08-14T22:03:57.1495981Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1496240Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1496310Z     return mod(**inputs)
2025-08-14T22:03:57.1496592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1496665Z     outputs = self.albert(
2025-08-14T22:03:57.1496946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1497032Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1497315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1497438Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1497712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1497920Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1498198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1498420Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1498708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-14T22:03:57.1498783Z     self.query(hidden_states)
2025-08-14T22:03:57.1498787Z 
2025-08-14T22:03:57.1498899Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1499120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1499214Z     return mod(**inputs)
2025-08-14T22:03:57.1499533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1499612Z     outputs = self.albert(
2025-08-14T22:03:57.1499896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1499985Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1500261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1500378Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1500659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1500864Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1501150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1501353Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1501629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-14T22:03:57.1501713Z     self.key(hidden_states)
2025-08-14T22:03:57.1501717Z 
2025-08-14T22:03:57.1501826Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1502045Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1502114Z     return mod(**inputs)
2025-08-14T22:03:57.1502387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1502466Z     outputs = self.albert(
2025-08-14T22:03:57.1502742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1502819Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1503140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1503260Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1503540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1503749Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1504022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1504227Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1504504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-14T22:03:57.1504587Z     self.value(hidden_states)
2025-08-14T22:03:57.1504590Z 
2025-08-14T22:03:57.1504678Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1504812Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1505028Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1505096Z     return mod(**inputs)
2025-08-14T22:03:57.1505366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1505446Z     outputs = self.albert(
2025-08-14T22:03:57.1505718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1505801Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1507256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1507371Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1507655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1507867Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1508148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1508349Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1508620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:03:57.1508782Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:03:57.1508787Z 
2025-08-14T22:03:57.1508897Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1509110Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1509188Z     return mod(**inputs)
2025-08-14T22:03:57.1509467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1509547Z     outputs = self.albert(
2025-08-14T22:03:57.1509821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1509898Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1510180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1510293Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1510575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1510828Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1511103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1511310Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1511580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-14T22:03:57.1511703Z     projected_context_layer = self.dense(attention_output)
2025-08-14T22:03:57.1511707Z 
2025-08-14T22:03:57.1511816Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1512022Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1512102Z     return mod(**inputs)
2025-08-14T22:03:57.1512374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1512449Z     outputs = self.albert(
2025-08-14T22:03:57.1512744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1512820Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1513101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1513218Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1513488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1513701Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1513998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1514092Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1514372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1514454Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1514737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-14T22:03:57.1514824Z     ffn_output = self.ffn(attention_output)
2025-08-14T22:03:57.1514827Z 
2025-08-14T22:03:57.1514935Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1515162Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1515233Z     return mod(**inputs)
2025-08-14T22:03:57.1515510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1515582Z     outputs = self.albert(
2025-08-14T22:03:57.1515853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1515941Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1516213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1516335Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1516606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1516811Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1517091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1517178Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1517494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1517586Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1517865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:03:57.1517966Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:03:57.1518191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:03:57.1518388Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:03:57.1518391Z 
2025-08-14T22:03:57.1518509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1518722Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1518798Z     return mod(**inputs)
2025-08-14T22:03:57.1519078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1519173Z     outputs = self.albert(
2025-08-14T22:03:57.1519454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1519532Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1519803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1519928Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1520197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1520446Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1520724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1520811Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1521095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1521174Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1521458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-14T22:03:57.1521548Z     ffn_output = self.ffn_output(ffn_output)
2025-08-14T22:03:57.1521551Z 
2025-08-14T22:03:57.1521661Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1521877Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1521946Z     return mod(**inputs)
2025-08-14T22:03:57.1522224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1522298Z     outputs = self.albert(
2025-08-14T22:03:57.1522570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1522654Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1522927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1523042Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1523319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1523523Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1523806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1524050Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1524321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-14T22:03:57.1524406Z     self.query(hidden_states)
2025-08-14T22:03:57.1524410Z 
2025-08-14T22:03:57.1524520Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1524734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1524804Z     return mod(**inputs)
2025-08-14T22:03:57.1525074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1525155Z     outputs = self.albert(
2025-08-14T22:03:57.1525425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1525502Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1525782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1525921Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1526199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1526405Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1526676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1526885Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1527185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-14T22:03:57.1527266Z     self.key(hidden_states)
2025-08-14T22:03:57.1527272Z 
2025-08-14T22:03:57.1527382Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1527595Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1527672Z     return mod(**inputs)
2025-08-14T22:03:57.1527947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1528019Z     outputs = self.albert(
2025-08-14T22:03:57.1528299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1528378Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1528660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1528776Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1529052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1529271Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1529550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1529759Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1530163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-14T22:03:57.1530249Z     self.value(hidden_states)
2025-08-14T22:03:57.1530256Z 
2025-08-14T22:03:57.1530357Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1530473Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1530741Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1530817Z     return mod(**inputs)
2025-08-14T22:03:57.1531102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1531186Z     outputs = self.albert(
2025-08-14T22:03:57.1531492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1531573Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1531886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1532008Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1532312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1532525Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1532803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1533038Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1533314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:03:57.1533475Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:03:57.1533479Z 
2025-08-14T22:03:57.1533587Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1533797Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1533897Z     return mod(**inputs)
2025-08-14T22:03:57.1534180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1534256Z     outputs = self.albert(
2025-08-14T22:03:57.1534543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1534620Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1534910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1535028Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1535307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1535522Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1535802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1536011Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1536289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-14T22:03:57.1536405Z     projected_context_layer = self.dense(attention_output)
2025-08-14T22:03:57.1536409Z 
2025-08-14T22:03:57.1536526Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1536741Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1536819Z     return mod(**inputs)
2025-08-14T22:03:57.1537100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1537177Z     outputs = self.albert(
2025-08-14T22:03:57.1537461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1537577Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1537850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1537977Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1538247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1538462Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1538736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1538821Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1539116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1539196Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1539482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-14T22:03:57.1539590Z     ffn_output = self.ffn(attention_output)
2025-08-14T22:03:57.1539593Z 
2025-08-14T22:03:57.1539701Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1539919Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1539989Z     return mod(**inputs)
2025-08-14T22:03:57.1540260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1540338Z     outputs = self.albert(
2025-08-14T22:03:57.1540610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1540717Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1540993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1541111Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1541388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1541591Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1541872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1541957Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1542232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1542320Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1542601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:03:57.1542693Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:03:57.1542924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:03:57.1543116Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:03:57.1543120Z 
2025-08-14T22:03:57.1543235Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1543445Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1543513Z     return mod(**inputs)
2025-08-14T22:03:57.1543793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1543867Z     outputs = self.albert(
2025-08-14T22:03:57.1544195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1544279Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1544548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1544674Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1544946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1545158Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1545431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1545520Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1545808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1545889Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1546200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-14T22:03:57.1546299Z     ffn_output = self.ffn_output(ffn_output)
2025-08-14T22:03:57.1546302Z 
2025-08-14T22:03:57.1546412Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1546629Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1546698Z     return mod(**inputs)
2025-08-14T22:03:57.1546971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1547078Z     outputs = self.albert(
2025-08-14T22:03:57.1547351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1547439Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1547715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1547833Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1548112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1548319Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1548591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1548802Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1549077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-14T22:03:57.1549164Z     self.query(hidden_states)
2025-08-14T22:03:57.1549169Z 
2025-08-14T22:03:57.1549279Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1549488Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1549564Z     return mod(**inputs)
2025-08-14T22:03:57.1549838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1549916Z     outputs = self.albert(
2025-08-14T22:03:57.1550191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1550267Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1550547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1550661Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1550980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1551187Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1551441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1551634Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1551889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-14T22:03:57.1551958Z     self.key(hidden_states)
2025-08-14T22:03:57.1551964Z 
2025-08-14T22:03:57.1552074Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1552269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1552344Z     return mod(**inputs)
2025-08-14T22:03:57.1552620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1552688Z     outputs = self.albert(
2025-08-14T22:03:57.1552950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1553024Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1553280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1553399Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1553677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1553886Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1554170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1554371Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1554650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-14T22:03:57.1554725Z     self.value(hidden_states)
2025-08-14T22:03:57.1554729Z 
2025-08-14T22:03:57.1554823Z cudagraph partition due to non gpu ops
2025-08-14T22:03:57.1554933Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1555144Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1555218Z     return mod(**inputs)
2025-08-14T22:03:57.1555477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1555557Z     outputs = self.albert(
2025-08-14T22:03:57.1555819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1555893Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1556158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1556271Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1556532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1556738Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1557013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1557256Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1557530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:03:57.1557684Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:03:57.1557688Z 
2025-08-14T22:03:57.1557805Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1558015Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1558090Z     return mod(**inputs)
2025-08-14T22:03:57.1558366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1558439Z     outputs = self.albert(
2025-08-14T22:03:57.1558718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1558798Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1559090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1559217Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1559492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1559705Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1559978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:03:57.1560198Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:03:57.1560478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-14T22:03:57.1560598Z     projected_context_layer = self.dense(attention_output)
2025-08-14T22:03:57.1560603Z 
2025-08-14T22:03:57.1560722Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1560933Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1561002Z     return mod(**inputs)
2025-08-14T22:03:57.1561281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1561352Z     outputs = self.albert(
2025-08-14T22:03:57.1561630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1561710Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1562145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1562290Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1562574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1562790Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1563083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1563176Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1563470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1563555Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1563843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-14T22:03:57.1563946Z     ffn_output = self.ffn(attention_output)
2025-08-14T22:03:57.1564038Z 
2025-08-14T22:03:57.1564163Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1564384Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1564455Z     return mod(**inputs)
2025-08-14T22:03:57.1564730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1564813Z     outputs = self.albert(
2025-08-14T22:03:57.1565086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1565164Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1565445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1565565Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1565848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1566093Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1566369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1566465Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1566743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1566832Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1567112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:03:57.1567254Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:03:57.1567495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:03:57.1567691Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:03:57.1567695Z 
2025-08-14T22:03:57.1567812Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1568023Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1568091Z     return mod(**inputs)
2025-08-14T22:03:57.1568374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:03:57.1568446Z     outputs = self.albert(
2025-08-14T22:03:57.1568719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:03:57.1568806Z     encoder_outputs = self.encoder(
2025-08-14T22:03:57.1569083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:03:57.1569210Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:03:57.1569482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:03:57.1569688Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:03:57.1570136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:03:57.1570232Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:03:57.1570528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:03:57.1570615Z     return forward_fn(*input_tensors)
2025-08-14T22:03:57.1570957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-14T22:03:57.1571060Z     ffn_output = self.ffn_output(ffn_output)
2025-08-14T22:03:57.1571067Z 
2025-08-14T22:03:57.1571180Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1571398Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1571485Z     return mod(**inputs)
2025-08-14T22:03:57.1571764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 984, in forward
2025-08-14T22:03:57.1571897Z     prediction_scores = self.predictions(sequence_outputs)
2025-08-14T22:03:57.1572171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 866, in forward
2025-08-14T22:03:57.1572264Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:03:57.1572268Z 
2025-08-14T22:03:57.1572383Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:03:57.1572594Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:03:57.1572696Z     return mod(**inputs)
2025-08-14T22:03:57.1572968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 984, in forward
2025-08-14T22:03:57.1573088Z     prediction_scores = self.predictions(sequence_outputs)
2025-08-14T22:03:57.1573367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 869, in forward
2025-08-14T22:03:57.1573467Z     hidden_states = self.decoder(hidden_states)
2025-08-14T22:03:57.1573470Z 
2025-08-14T22:04:06.6047574Z Compilation time (from dynamo_timed): 22.578150111
2025-08-14T22:04:06.6048752Z pass
2025-08-14T22:04:06.6049354Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:04:06.6050712Z TIMING: _recursive_pre_grad_passes:0.00768 _recursive_joint_graph_passes:0.49012 _recursive_post_grad_passes:0.08833 async_compile.wait:0.77895 code_gen:8.12839 inductor_compile:11.17728 backend_compile:18.56102 gc:0.0014 entire_frame_compile:22.57815 total_wall_time:22.57815
2025-08-14T22:04:06.6052498Z STATS: call_* op count: 367 | FakeTensorMode.__torch_dispatch__:11433 | attempt fast:81 | fast is_contiguous:77 | slow no contiguity match:4 | FakeTensor.__torch_dispatch__:4788 | ProxyTorchDispatchMode.__torch_dispatch__:3918
2025-08-14T22:04:06.6053139Z Dynamo produced 1 graphs covering 367 ops with 0 graph breaks (0 unique)
2025-08-14T22:04:11.4415619Z 
2025-08-14T22:04:12.0937174Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:04:12.0940833Z 
2025-08-14T22:04:12.0941495Z config.json: 0.00B [00:00, ?B/s]
2025-08-14T22:04:12.0941823Z config.json: 1.72kB [00:00, 7.92MB/s]
2025-08-14T22:04:15.5691890Z 
2025-08-14T22:04:15.5692377Z loading model: 0it [00:04, ?it/s]
2025-08-14T22:04:15.5720283Z cpu  eval  hf_Bart                            
2025-08-14T22:04:17.3437845Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:04:18.1656146Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:04:18.9676670Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:04:40.4551227Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4551549Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4556249Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4560631Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4563218Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4563569Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4563870Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4564350Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4564731Z     return mod(**inputs)
2025-08-14T22:04:40.4565648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4566129Z     outputs = self.model(
2025-08-14T22:04:40.4566559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4567012Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4567437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4567882Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4568281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4568694Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4569136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4569597Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4570235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-14T22:04:40.4570840Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-14T22:04:40.4571081Z 
2025-08-14T22:04:40.4571204Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4571611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4571975Z     return mod(**inputs)
2025-08-14T22:04:40.4572385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4572813Z     outputs = self.model(
2025-08-14T22:04:40.4573277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4573713Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4574137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4574573Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4574963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4575371Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4575799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4576252Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4576694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-14T22:04:40.4577130Z     key_states = self.k_proj(current_states)
2025-08-14T22:04:40.4577288Z 
2025-08-14T22:04:40.4577405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4577830Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4578186Z     return mod(**inputs)
2025-08-14T22:04:40.4578597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4579021Z     outputs = self.model(
2025-08-14T22:04:40.4579436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4579869Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4580297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4580727Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4581117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4581528Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4582002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4582451Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4582884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-14T22:04:40.4583322Z     value_states = self.v_proj(current_states)
2025-08-14T22:04:40.4583476Z 
2025-08-14T22:04:40.4583574Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4583806Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4584044Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4584262Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4584516Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4584895Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4585241Z     return mod(**inputs)
2025-08-14T22:04:40.4585636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4586060Z     outputs = self.model(
2025-08-14T22:04:40.4586456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4586876Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4587279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4587678Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4588052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4588456Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4588857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4589281Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4589707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.4590137Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.4590615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:04:40.4591144Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:04:40.4591362Z 
2025-08-14T22:04:40.4591493Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4591892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4592245Z     return mod(**inputs)
2025-08-14T22:04:40.4592642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4593052Z     outputs = self.model(
2025-08-14T22:04:40.4593423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4593836Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4594235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4594643Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4595002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4595653Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4596065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4596495Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4596949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.4597400Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.4597883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:04:40.4598371Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:04:40.4598552Z 
2025-08-14T22:04:40.4598663Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4599046Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4599392Z     return mod(**inputs)
2025-08-14T22:04:40.4599814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4600261Z     outputs = self.model(
2025-08-14T22:04:40.4600663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4601090Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4601505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4601909Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4602281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4602659Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4603069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4603494Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4603986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-14T22:04:40.4604394Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:04:40.4604561Z 
2025-08-14T22:04:40.4604676Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4605069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4605413Z     return mod(**inputs)
2025-08-14T22:04:40.4605812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4606225Z     outputs = self.model(
2025-08-14T22:04:40.4606619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4607035Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4607450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4607869Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4608253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4608663Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4609095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-14T22:04:40.4609569Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.4609755Z 
2025-08-14T22:04:40.4609870Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4610372Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4610739Z     return mod(**inputs)
2025-08-14T22:04:40.4611149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4611570Z     outputs = self.model(
2025-08-14T22:04:40.4611976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4612480Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4612903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4613339Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4613725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4614132Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4614558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-14T22:04:40.4615031Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.4615451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:04:40.4615831Z     return self.act(input)
2025-08-14T22:04:40.4615953Z 
2025-08-14T22:04:40.4616076Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4616467Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4616866Z     return mod(**inputs)
2025-08-14T22:04:40.4617263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4617688Z     outputs = self.model(
2025-08-14T22:04:40.4618079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4618512Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4618936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4619370Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4619753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4620140Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4620552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 325, in forward
2025-08-14T22:04:40.4620961Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:04:40.4621113Z 
2025-08-14T22:04:40.4621222Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4621609Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4621952Z     return mod(**inputs)
2025-08-14T22:04:40.4622329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4622729Z     outputs = self.model(
2025-08-14T22:04:40.4623109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4623513Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4623920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4624334Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4624706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4625082Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4625490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4625917Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4626335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-14T22:04:40.4626823Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-14T22:04:40.4627049Z 
2025-08-14T22:04:40.4627160Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4627583Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4627924Z     return mod(**inputs)
2025-08-14T22:04:40.4628312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4628716Z     outputs = self.model(
2025-08-14T22:04:40.4629104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4629504Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4629910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4630320Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4630688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4631074Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4631487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4631937Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4632352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-14T22:04:40.4632766Z     key_states = self.k_proj(current_states)
2025-08-14T22:04:40.4632910Z 
2025-08-14T22:04:40.4633029Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4633402Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4633745Z     return mod(**inputs)
2025-08-14T22:04:40.4634124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4634551Z     outputs = self.model(
2025-08-14T22:04:40.4634933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4635355Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4635755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4636161Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4636536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4636924Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4637333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4637756Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4638183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-14T22:04:40.4638606Z     value_states = self.v_proj(current_states)
2025-08-14T22:04:40.4638760Z 
2025-08-14T22:04:40.4638853Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4639081Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4639307Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4639527Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4639769Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4640150Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4640495Z     return mod(**inputs)
2025-08-14T22:04:40.4640871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4641278Z     outputs = self.model(
2025-08-14T22:04:40.4641670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4642085Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4642521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4642941Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4643320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4643707Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4644119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4644551Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4644976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.4645411Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.4645892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:04:40.4646418Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:04:40.4646636Z 
2025-08-14T22:04:40.4646757Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4647138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4647488Z     return mod(**inputs)
2025-08-14T22:04:40.4647877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4648284Z     outputs = self.model(
2025-08-14T22:04:40.4648662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4649095Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4649506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4649950Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4650435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4650847Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4651275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4651707Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4652135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.4652573Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.4653046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:04:40.4653547Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:04:40.4653732Z 
2025-08-14T22:04:40.4653848Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4654235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4654575Z     return mod(**inputs)
2025-08-14T22:04:40.4654963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4655380Z     outputs = self.model(
2025-08-14T22:04:40.4655765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4656176Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4656581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4656995Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4657363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4657788Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4658205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4658632Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4659048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-14T22:04:40.4659466Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:04:40.4659611Z 
2025-08-14T22:04:40.4659728Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4660102Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4660450Z     return mod(**inputs)
2025-08-14T22:04:40.4660831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4661237Z     outputs = self.model(
2025-08-14T22:04:40.4661616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4662263Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4662682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4663083Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4663462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4663850Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4664265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-14T22:04:40.4664791Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.4664987Z 
2025-08-14T22:04:40.4665098Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4665483Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4665832Z     return mod(**inputs)
2025-08-14T22:04:40.4666213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4666624Z     outputs = self.model(
2025-08-14T22:04:40.4667015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4667426Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4667835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4668245Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4668618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4668995Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4669409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-14T22:04:40.4669867Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.4670277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:04:40.4670648Z     return self.act(input)
2025-08-14T22:04:40.4670772Z 
2025-08-14T22:04:40.4670883Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4671266Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4671605Z     return mod(**inputs)
2025-08-14T22:04:40.4671991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4672404Z     outputs = self.model(
2025-08-14T22:04:40.4672858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4673276Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4673684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4674095Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4674471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4674856Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4675270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 325, in forward
2025-08-14T22:04:40.4675694Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:04:40.4675848Z 
2025-08-14T22:04:40.4675961Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4676354Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4676725Z     return mod(**inputs)
2025-08-14T22:04:40.4677160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4677599Z     outputs = self.model(
2025-08-14T22:04:40.4678001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4678434Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4678847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4679269Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4679661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4680071Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4680498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4680947Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4681386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-14T22:04:40.4681884Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-14T22:04:40.4682121Z 
2025-08-14T22:04:40.4682239Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4682638Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4683010Z     return mod(**inputs)
2025-08-14T22:04:40.4683423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4683846Z     outputs = self.model(
2025-08-14T22:04:40.4684264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4684711Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4685145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4685579Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4685996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4686406Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4686838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4687288Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4687725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-14T22:04:40.4688139Z     key_states = self.k_proj(current_states)
2025-08-14T22:04:40.4688290Z 
2025-08-14T22:04:40.4688433Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4688818Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4689156Z     return mod(**inputs)
2025-08-14T22:04:40.4689542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4689994Z     outputs = self.model(
2025-08-14T22:04:40.4690473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4690908Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4691328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4691760Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4692143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4692542Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4692977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4693408Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4693821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-14T22:04:40.4694240Z     value_states = self.v_proj(current_states)
2025-08-14T22:04:40.4694390Z 
2025-08-14T22:04:40.4694483Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4694704Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4694930Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4695176Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4695430Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4695811Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4696162Z     return mod(**inputs)
2025-08-14T22:04:40.4696548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4696947Z     outputs = self.model(
2025-08-14T22:04:40.4697332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4697747Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4698150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4698552Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4698927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4699315Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4699725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4700154Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4700576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.4701012Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.4701482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:04:40.4702005Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:04:40.4702211Z 
2025-08-14T22:04:40.4702324Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4702715Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4703052Z     return mod(**inputs)
2025-08-14T22:04:40.4703456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4703853Z     outputs = self.model(
2025-08-14T22:04:40.4704214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4704607Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4704994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4705383Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4705740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4706109Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4706501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4706897Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4707310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.4707774Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.4708230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:04:40.4708687Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:04:40.4708858Z 
2025-08-14T22:04:40.4708963Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4709324Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4709654Z     return mod(**inputs)
2025-08-14T22:04:40.4710041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4710431Z     outputs = self.model(
2025-08-14T22:04:40.4710803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4711192Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4711580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4711963Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4712319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4712680Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4713068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4713478Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4713869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-14T22:04:40.4714269Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:04:40.4714417Z 
2025-08-14T22:04:40.4714523Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4714882Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4715198Z     return mod(**inputs)
2025-08-14T22:04:40.4715565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4715987Z     outputs = self.model(
2025-08-14T22:04:40.4716354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4716739Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4717126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4717518Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4717894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4718262Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4718655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-14T22:04:40.4719096Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.4719283Z 
2025-08-14T22:04:40.4719396Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4719781Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4720134Z     return mod(**inputs)
2025-08-14T22:04:40.4720516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4720929Z     outputs = self.model(
2025-08-14T22:04:40.4721355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4721802Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4722201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4722619Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4722996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4723380Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4723784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-14T22:04:40.4724242Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.4724686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:04:40.4725053Z     return self.act(input)
2025-08-14T22:04:40.4725184Z 
2025-08-14T22:04:40.4725294Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4725682Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4726032Z     return mod(**inputs)
2025-08-14T22:04:40.4726422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4726838Z     outputs = self.model(
2025-08-14T22:04:40.4727239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4727653Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4728081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4728511Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4728903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4729303Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4729737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 325, in forward
2025-08-14T22:04:40.4730245Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:04:40.4730398Z 
2025-08-14T22:04:40.4730517Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4730898Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4731255Z     return mod(**inputs)
2025-08-14T22:04:40.4731656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4732089Z     outputs = self.model(
2025-08-14T22:04:40.4732551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4733062Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4733485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4733899Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4734281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4734687Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4735102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4735544Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4735977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-14T22:04:40.4736479Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-14T22:04:40.4736702Z 
2025-08-14T22:04:40.4736819Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4737236Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4737602Z     return mod(**inputs)
2025-08-14T22:04:40.4737991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4738434Z     outputs = self.model(
2025-08-14T22:04:40.4738833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4739280Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4739688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4740144Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4740520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4740911Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4741318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4741744Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4742168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-14T22:04:40.4742579Z     key_states = self.k_proj(current_states)
2025-08-14T22:04:40.4742730Z 
2025-08-14T22:04:40.4742839Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4743218Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4743573Z     return mod(**inputs)
2025-08-14T22:04:40.4743952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4744364Z     outputs = self.model(
2025-08-14T22:04:40.4744752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4745162Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4745566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4745974Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4746353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4746733Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4747145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4747577Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4748037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-14T22:04:40.4748459Z     value_states = self.v_proj(current_states)
2025-08-14T22:04:40.4748621Z 
2025-08-14T22:04:40.4748708Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4748945Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4749167Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4749395Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4749646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4750022Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4750370Z     return mod(**inputs)
2025-08-14T22:04:40.4750758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4751167Z     outputs = self.model(
2025-08-14T22:04:40.4751550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4751967Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4752396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4752801Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4753168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4753556Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4753971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4754391Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4754821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.4755272Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.4755749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:04:40.4756259Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:04:40.4756462Z 
2025-08-14T22:04:40.4756574Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4756957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4757293Z     return mod(**inputs)
2025-08-14T22:04:40.4757680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4758087Z     outputs = self.model(
2025-08-14T22:04:40.4758473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4758883Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4759305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4759728Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4760110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4760500Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4760911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4761338Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4761749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.4762323Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.4762809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:04:40.4763389Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:04:40.4763566Z 
2025-08-14T22:04:40.4763678Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4764064Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4764420Z     return mod(**inputs)
2025-08-14T22:04:40.4764827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4765240Z     outputs = self.model(
2025-08-14T22:04:40.4765661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4766102Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4766535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4766976Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4767385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4767836Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4768278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4768738Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4769194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-14T22:04:40.4769628Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:04:40.4769787Z 
2025-08-14T22:04:40.4769905Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4770396Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4770778Z     return mod(**inputs)
2025-08-14T22:04:40.4771187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4771635Z     outputs = self.model(
2025-08-14T22:04:40.4772031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4772461Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4772902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4773338Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4773720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4774126Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4774553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-14T22:04:40.4775046Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.4775234Z 
2025-08-14T22:04:40.4775362Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4775750Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4776106Z     return mod(**inputs)
2025-08-14T22:04:40.4776501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4776936Z     outputs = self.model(
2025-08-14T22:04:40.4777342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4777845Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4778263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4778681Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4779106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4779508Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4779922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-14T22:04:40.4780386Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.4780813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:04:40.4781192Z     return self.act(input)
2025-08-14T22:04:40.4781315Z 
2025-08-14T22:04:40.4781429Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4781822Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4782179Z     return mod(**inputs)
2025-08-14T22:04:40.4782572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4782990Z     outputs = self.model(
2025-08-14T22:04:40.4783376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4783816Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4784213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4784627Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4785001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4785386Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4785785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 325, in forward
2025-08-14T22:04:40.4786317Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:04:40.4786479Z 
2025-08-14T22:04:40.4786604Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4786982Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4787336Z     return mod(**inputs)
2025-08-14T22:04:40.4787720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4788127Z     outputs = self.model(
2025-08-14T22:04:40.4788512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4788929Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4789348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4789763Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4790162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4790570Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4791011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4791439Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4791867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-14T22:04:40.4792359Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-14T22:04:40.4792580Z 
2025-08-14T22:04:40.4792700Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4793092Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4793454Z     return mod(**inputs)
2025-08-14T22:04:40.4793853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4794270Z     outputs = self.model(
2025-08-14T22:04:40.4794715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4795145Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4795565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4795974Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4796359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4796764Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4797181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4797623Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4798056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-14T22:04:40.4798488Z     key_states = self.k_proj(current_states)
2025-08-14T22:04:40.4798655Z 
2025-08-14T22:04:40.4798771Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4799167Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4799524Z     return mod(**inputs)
2025-08-14T22:04:40.4799932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4800348Z     outputs = self.model(
2025-08-14T22:04:40.4800748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4801172Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4801599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4802015Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4802395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4802789Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4803199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4803636Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4804067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-14T22:04:40.4804487Z     value_states = self.v_proj(current_states)
2025-08-14T22:04:40.4804648Z 
2025-08-14T22:04:40.4804736Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4804970Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4805198Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4805417Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4805673Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4806069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4806433Z     return mod(**inputs)
2025-08-14T22:04:40.4806822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4807233Z     outputs = self.model(
2025-08-14T22:04:40.4807633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4808059Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4808469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4808888Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4809273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4809710Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4810231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4810679Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4811105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.4811553Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.4812048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:04:40.4812584Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:04:40.4812794Z 
2025-08-14T22:04:40.4812910Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4813326Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4813698Z     return mod(**inputs)
2025-08-14T22:04:40.4814114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4814542Z     outputs = self.model(
2025-08-14T22:04:40.4814942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4815380Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4815795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4816213Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4816598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4817009Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4817433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4817871Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4818298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.4818734Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.4819228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:04:40.4819739Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:04:40.4819910Z 
2025-08-14T22:04:40.4820028Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4820402Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4820750Z     return mod(**inputs)
2025-08-14T22:04:40.4821133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4821531Z     outputs = self.model(
2025-08-14T22:04:40.4821916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4822333Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4822738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4823138Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4823522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4823935Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4824336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4824762Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4825224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-14T22:04:40.4825646Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:04:40.4825797Z 
2025-08-14T22:04:40.4825912Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4826299Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4826647Z     return mod(**inputs)
2025-08-14T22:04:40.4827034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4827439Z     outputs = self.model(
2025-08-14T22:04:40.4827829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4828251Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4828663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4829076Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4829473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4829860Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4830262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-14T22:04:40.4830719Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.4830903Z 
2025-08-14T22:04:40.4831022Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4831396Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4831762Z     return mod(**inputs)
2025-08-14T22:04:40.4832149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4832562Z     outputs = self.model(
2025-08-14T22:04:40.4832947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4833364Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4833773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4834183Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4834550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4834948Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4835365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-14T22:04:40.4835820Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.4836245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:04:40.4836617Z     return self.act(input)
2025-08-14T22:04:40.4836736Z 
2025-08-14T22:04:40.4836856Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4837239Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4837591Z     return mod(**inputs)
2025-08-14T22:04:40.4837978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4838380Z     outputs = self.model(
2025-08-14T22:04:40.4838774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4839192Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4839601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4840020Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4840412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4840783Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4841166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 325, in forward
2025-08-14T22:04:40.4841560Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:04:40.4841707Z 
2025-08-14T22:04:40.4841813Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4842176Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4842497Z     return mod(**inputs)
2025-08-14T22:04:40.4842866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4843252Z     outputs = self.model(
2025-08-14T22:04:40.4843627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4844083Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4844479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4844877Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4845229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4845633Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4846049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4846478Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4846920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-14T22:04:40.4847410Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-14T22:04:40.4847631Z 
2025-08-14T22:04:40.4847749Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4848138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4848475Z     return mod(**inputs)
2025-08-14T22:04:40.4848863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4849270Z     outputs = self.model(
2025-08-14T22:04:40.4849648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4850140Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4850582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4851006Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4851389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4851805Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4852221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4852645Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4853072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-14T22:04:40.4853497Z     key_states = self.k_proj(current_states)
2025-08-14T22:04:40.4853641Z 
2025-08-14T22:04:40.4853764Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4854144Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4854497Z     return mod(**inputs)
2025-08-14T22:04:40.4854926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4855329Z     outputs = self.model(
2025-08-14T22:04:40.4855715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4856125Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4856522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4856920Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4857290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4857675Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4858084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4858500Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4858925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-14T22:04:40.4859364Z     value_states = self.v_proj(current_states)
2025-08-14T22:04:40.4859516Z 
2025-08-14T22:04:40.4859604Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4859835Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4860061Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4860281Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4860522Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4860901Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4861248Z     return mod(**inputs)
2025-08-14T22:04:40.4861641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4862216Z     outputs = self.model(
2025-08-14T22:04:40.4862627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4863052Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4863462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4863881Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4864270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4864656Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4865079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4865514Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4865947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.4866382Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.4866869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:04:40.4867398Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:04:40.4867597Z 
2025-08-14T22:04:40.4867717Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4868097Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4868446Z     return mod(**inputs)
2025-08-14T22:04:40.4868837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4869248Z     outputs = self.model(
2025-08-14T22:04:40.4869642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4870144Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4870548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4870952Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4871321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4871705Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4872106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4872536Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4872963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.4873397Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.4873875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:04:40.4874409Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:04:40.4874583Z 
2025-08-14T22:04:40.4874704Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4875087Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4875426Z     return mod(**inputs)
2025-08-14T22:04:40.4875817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4876226Z     outputs = self.model(
2025-08-14T22:04:40.4876607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4877061Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4877463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4877875Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4878278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4878667Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4879073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:04:40.4879493Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:04:40.4879914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-14T22:04:40.4880331Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:04:40.4880477Z 
2025-08-14T22:04:40.4880598Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4880967Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4881311Z     return mod(**inputs)
2025-08-14T22:04:40.4881695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4882095Z     outputs = self.model(
2025-08-14T22:04:40.4882481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4882889Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4883288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4883689Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4884058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4884445Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4884862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-14T22:04:40.4885376Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.4885576Z 
2025-08-14T22:04:40.4885690Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4886083Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4886430Z     return mod(**inputs)
2025-08-14T22:04:40.4886838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4887272Z     outputs = self.model(
2025-08-14T22:04:40.4887683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4888109Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4888529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4888952Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4889333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4889762Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4890250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-14T22:04:40.4890730Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.4891151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:04:40.4891531Z     return self.act(input)
2025-08-14T22:04:40.4891655Z 
2025-08-14T22:04:40.4891776Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4892199Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4892546Z     return mod(**inputs)
2025-08-14T22:04:40.4892944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4893392Z     outputs = self.model(
2025-08-14T22:04:40.4893806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:04:40.4894254Z     encoder_outputs = self.encoder(
2025-08-14T22:04:40.4894681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:04:40.4895114Z     layer_outputs = encoder_layer(
2025-08-14T22:04:40.4895490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4895896Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4896335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 325, in forward
2025-08-14T22:04:40.4896767Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:04:40.4896931Z 
2025-08-14T22:04:40.4897045Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4897438Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4897805Z     return mod(**inputs)
2025-08-14T22:04:40.4898190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4898604Z     outputs = self.model(
2025-08-14T22:04:40.4898995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4899430Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4899842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4900264Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4900680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4901067Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4901490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.4901935Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.4902379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-14T22:04:40.4902871Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-14T22:04:40.4903100Z 
2025-08-14T22:04:40.4903213Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4903606Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4903955Z     return mod(**inputs)
2025-08-14T22:04:40.4904353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4904778Z     outputs = self.model(
2025-08-14T22:04:40.4905161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4905562Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4905966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4906374Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4906733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4907126Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4907571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.4908016Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.4908459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-14T22:04:40.4908889Z     key_states = self.k_proj(current_states)
2025-08-14T22:04:40.4909037Z 
2025-08-14T22:04:40.4909176Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4909569Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4909915Z     return mod(**inputs)
2025-08-14T22:04:40.4910310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4910727Z     outputs = self.model(
2025-08-14T22:04:40.4911112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4911539Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4911958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4912384Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4912757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4913154Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4913576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.4914013Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.4914467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-14T22:04:40.4914886Z     value_states = self.v_proj(current_states)
2025-08-14T22:04:40.4915036Z 
2025-08-14T22:04:40.4915133Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4915358Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4915587Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4915846Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4916095Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4916483Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4916833Z     return mod(**inputs)
2025-08-14T22:04:40.4917221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4917623Z     outputs = self.model(
2025-08-14T22:04:40.4918009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4918425Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4918827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4919243Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4919619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4920022Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4920427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.4920859Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.4921287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.4921718Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.4922192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:04:40.4922726Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:04:40.4922921Z 
2025-08-14T22:04:40.4923038Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4923418Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4923766Z     return mod(**inputs)
2025-08-14T22:04:40.4924150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4924561Z     outputs = self.model(
2025-08-14T22:04:40.4924938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4925354Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4925756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4926160Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4926533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4926925Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4927344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.4927776Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.4928210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.4928642Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.4929116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:04:40.4929597Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:04:40.4929781Z 
2025-08-14T22:04:40.4929894Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4930369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4930770Z     return mod(**inputs)
2025-08-14T22:04:40.4931182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4931607Z     outputs = self.model(
2025-08-14T22:04:40.4931994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4932395Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4932803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4933215Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4933583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4933969Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4934384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.4934817Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.4935259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-14T22:04:40.4935676Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:04:40.4935826Z 
2025-08-14T22:04:40.4935937Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4936317Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4936651Z     return mod(**inputs)
2025-08-14T22:04:40.4937030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4937464Z     outputs = self.model(
2025-08-14T22:04:40.4937844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4938260Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4938668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4939087Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4939451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4939840Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4940251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.4940727Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.4941173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-14T22:04:40.4941659Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-14T22:04:40.4941867Z 
2025-08-14T22:04:40.4941984Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4942346Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4942674Z     return mod(**inputs)
2025-08-14T22:04:40.4943040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4943426Z     outputs = self.model(
2025-08-14T22:04:40.4943784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4944177Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4944565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4944951Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4945307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4945712Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4946112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.4946535Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.4946963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-14T22:04:40.4947361Z     key_states = self.k_proj(current_states)
2025-08-14T22:04:40.4947501Z 
2025-08-14T22:04:40.4947616Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4947978Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4948311Z     return mod(**inputs)
2025-08-14T22:04:40.4948677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4949066Z     outputs = self.model(
2025-08-14T22:04:40.4949445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4949854Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4950236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4950626Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4950999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4951382Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4951793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.4952241Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.4952692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-14T22:04:40.4953120Z     value_states = self.v_proj(current_states)
2025-08-14T22:04:40.4953272Z 
2025-08-14T22:04:40.4953358Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4953592Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4953820Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4954036Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4954286Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4954667Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4955015Z     return mod(**inputs)
2025-08-14T22:04:40.4955395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4955805Z     outputs = self.model(
2025-08-14T22:04:40.4956194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4956605Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4957002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4957404Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4957778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4958163Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4958581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.4959028Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.4959465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.4959905Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.4960435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:04:40.4960951Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:04:40.4961146Z 
2025-08-14T22:04:40.4961259Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4961642Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4962165Z     return mod(**inputs)
2025-08-14T22:04:40.4962567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4962966Z     outputs = self.model(
2025-08-14T22:04:40.4963357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4963769Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4964181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4964668Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4965054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4965449Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4965860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.4966315Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.4966766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.4967250Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.4967734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:04:40.4968239Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:04:40.4968417Z 
2025-08-14T22:04:40.4968541Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4968928Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4969285Z     return mod(**inputs)
2025-08-14T22:04:40.4969688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4969765Z     outputs = self.model(
2025-08-14T22:04:40.4970092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4970186Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4970467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4970559Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4970807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4970906Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4971178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.4971294Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.4971572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-14T22:04:40.4971666Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:04:40.4971670Z 
2025-08-14T22:04:40.4971791Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4972012Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4972082Z     return mod(**inputs)
2025-08-14T22:04:40.4972418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4972493Z     outputs = self.model(
2025-08-14T22:04:40.4972761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4972850Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4973116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4973204Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4973452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4973536Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4973811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-14T22:04:40.4973943Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.4973946Z 
2025-08-14T22:04:40.4974077Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4974296Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4974366Z     return mod(**inputs)
2025-08-14T22:04:40.4974639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4974713Z     outputs = self.model(
2025-08-14T22:04:40.4974977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4975063Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4975354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4975431Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4975677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4975761Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4976033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-14T22:04:40.4976161Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.4976387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:04:40.4976470Z     return self.act(input)
2025-08-14T22:04:40.4976473Z 
2025-08-14T22:04:40.4976583Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4976802Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4976874Z     return mod(**inputs)
2025-08-14T22:04:40.4977147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4977227Z     outputs = self.model(
2025-08-14T22:04:40.4977498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4977577Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4977849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4977927Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4978170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4978253Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4978520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 447, in forward
2025-08-14T22:04:40.4978615Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:04:40.4978619Z 
2025-08-14T22:04:40.4979962Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4980204Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4980284Z     return mod(**inputs)
2025-08-14T22:04:40.4980549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4980634Z     outputs = self.model(
2025-08-14T22:04:40.4980901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4980982Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4981258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4981339Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4981585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4981675Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4981952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.4982071Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.4982346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-14T22:04:40.4982510Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-14T22:04:40.4982521Z 
2025-08-14T22:04:40.4982631Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4982837Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4982935Z     return mod(**inputs)
2025-08-14T22:04:40.4983207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4983282Z     outputs = self.model(
2025-08-14T22:04:40.4983564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4983644Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4983926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4984003Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4984242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4984332Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4984602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.4984708Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.4984988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-14T22:04:40.4985073Z     key_states = self.k_proj(current_states)
2025-08-14T22:04:40.4985077Z 
2025-08-14T22:04:40.4985193Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4985406Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4985476Z     return mod(**inputs)
2025-08-14T22:04:40.4985756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4985828Z     outputs = self.model(
2025-08-14T22:04:40.4986100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4986190Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4986461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4986581Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4986822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4986905Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4987176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.4987280Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.4987551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-14T22:04:40.4987640Z     value_states = self.v_proj(current_states)
2025-08-14T22:04:40.4987644Z 
2025-08-14T22:04:40.4987732Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4987824Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4987905Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4987985Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.4988103Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4988329Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4988406Z     return mod(**inputs)
2025-08-14T22:04:40.4988674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4988744Z     outputs = self.model(
2025-08-14T22:04:40.4989014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4989094Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4989356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4989474Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4989718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4989810Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4990080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.4990184Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.4990456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.4990563Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.4990879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:04:40.4991028Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:04:40.4991032Z 
2025-08-14T22:04:40.4991140Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4991362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4991433Z     return mod(**inputs)
2025-08-14T22:04:40.4991706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4991786Z     outputs = self.model(
2025-08-14T22:04:40.4992058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4992144Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4992416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4992492Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4992741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4992826Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4993130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.4993244Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.4993510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.4993618Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.4993931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:04:40.4994048Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:04:40.4994052Z 
2025-08-14T22:04:40.4994168Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4994380Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4994457Z     return mod(**inputs)
2025-08-14T22:04:40.4994734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4994828Z     outputs = self.model(
2025-08-14T22:04:40.4995110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4995190Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4995457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4995544Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4995785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4995878Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4996182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.4996288Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.4996557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-14T22:04:40.4996645Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:04:40.4996648Z 
2025-08-14T22:04:40.4996763Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4996976Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4997047Z     return mod(**inputs)
2025-08-14T22:04:40.4997320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.4997393Z     outputs = self.model(
2025-08-14T22:04:40.4997660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.4997750Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.4998038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.4998126Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.4998419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.4998502Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.4998772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.4998888Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.4999149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-14T22:04:40.4999320Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-14T22:04:40.4999324Z 
2025-08-14T22:04:40.4999432Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.4999685Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.4999759Z     return mod(**inputs)
2025-08-14T22:04:40.5000025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5000108Z     outputs = self.model(
2025-08-14T22:04:40.5000390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5000480Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5000762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5000839Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5001091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5001176Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5001458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5001604Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5001876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-14T22:04:40.5001972Z     key_states = self.k_proj(current_states)
2025-08-14T22:04:40.5001976Z 
2025-08-14T22:04:40.5002087Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5002303Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5002382Z     return mod(**inputs)
2025-08-14T22:04:40.5002678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5002761Z     outputs = self.model(
2025-08-14T22:04:40.5003037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5003123Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5003400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5003478Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5003718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5003810Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5004081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5004207Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5004476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-14T22:04:40.5004571Z     value_states = self.v_proj(current_states)
2025-08-14T22:04:40.5004577Z 
2025-08-14T22:04:40.5004673Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5004759Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5004843Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5004935Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5005048Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5005271Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5005342Z     return mod(**inputs)
2025-08-14T22:04:40.5005611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5005695Z     outputs = self.model(
2025-08-14T22:04:40.5005967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5006047Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5006366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5006447Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5006695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5006779Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5007048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5007169Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5007435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.5007549Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.5007871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:04:40.5008037Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:04:40.5008041Z 
2025-08-14T22:04:40.5008159Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5008374Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5008446Z     return mod(**inputs)
2025-08-14T22:04:40.5008731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5008805Z     outputs = self.model(
2025-08-14T22:04:40.5009088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5009188Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5009461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5009552Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5009801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5009886Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5010257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5010381Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5010662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.5010770Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.5011095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:04:40.5011224Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:04:40.5011231Z 
2025-08-14T22:04:40.5011347Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5011580Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5011655Z     return mod(**inputs)
2025-08-14T22:04:40.5011930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5012015Z     outputs = self.model(
2025-08-14T22:04:40.5012288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5012371Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5012656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5012742Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5013036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5013129Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5013399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5013526Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5013805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-14T22:04:40.5013908Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:04:40.5013912Z 
2025-08-14T22:04:40.5014025Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5014244Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5014330Z     return mod(**inputs)
2025-08-14T22:04:40.5014609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5014684Z     outputs = self.model(
2025-08-14T22:04:40.5015000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5015081Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5015359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5015437Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5015674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5015770Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5016036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-14T22:04:40.5016188Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.5016200Z 
2025-08-14T22:04:40.5016315Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5016532Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5016611Z     return mod(**inputs)
2025-08-14T22:04:40.5016882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5016956Z     outputs = self.model(
2025-08-14T22:04:40.5017237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5017317Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5017595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5017676Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5017920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5018016Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5018290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-14T22:04:40.5018420Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.5018662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:04:40.5018738Z     return self.act(input)
2025-08-14T22:04:40.5018741Z 
2025-08-14T22:04:40.5018861Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5019076Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5019150Z     return mod(**inputs)
2025-08-14T22:04:40.5019432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5019505Z     outputs = self.model(
2025-08-14T22:04:40.5019849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5019933Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5020205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5020291Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5020535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5020621Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5020898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 447, in forward
2025-08-14T22:04:40.5020988Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:04:40.5020992Z 
2025-08-14T22:04:40.5021113Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5021329Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5021425Z     return mod(**inputs)
2025-08-14T22:04:40.5021707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5021782Z     outputs = self.model(
2025-08-14T22:04:40.5022055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5022141Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5022423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5022507Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5022762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5022845Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5023117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5023224Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5023496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-14T22:04:40.5023656Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-14T22:04:40.5023660Z 
2025-08-14T22:04:40.5023767Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5023984Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5024054Z     return mod(**inputs)
2025-08-14T22:04:40.5024318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5024398Z     outputs = self.model(
2025-08-14T22:04:40.5024664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5024749Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5025016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5025091Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5025331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5025414Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5025674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5025788Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5026055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-14T22:04:40.5026186Z     key_states = self.k_proj(current_states)
2025-08-14T22:04:40.5026191Z 
2025-08-14T22:04:40.5026304Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5026517Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5026597Z     return mod(**inputs)
2025-08-14T22:04:40.5026868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5026950Z     outputs = self.model(
2025-08-14T22:04:40.5027224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5027304Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5027587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5027665Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5027913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5028024Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5028296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5028411Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5028695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-14T22:04:40.5028788Z     value_states = self.v_proj(current_states)
2025-08-14T22:04:40.5028792Z 
2025-08-14T22:04:40.5028886Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5028991Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5029082Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5029164Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5029276Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5029494Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5029566Z     return mod(**inputs)
2025-08-14T22:04:40.5029835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5029919Z     outputs = self.model(
2025-08-14T22:04:40.5030194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5030276Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5030557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5030636Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5030885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5030972Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5031250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5031363Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5031624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.5031733Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.5032046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:04:40.5032186Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:04:40.5032191Z 
2025-08-14T22:04:40.5032305Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5032514Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5032628Z     return mod(**inputs)
2025-08-14T22:04:40.5032902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5032974Z     outputs = self.model(
2025-08-14T22:04:40.5033246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5033324Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5033587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5033674Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5033910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5034005Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5034274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5034378Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5034668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.5034769Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.5035082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:04:40.5035204Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:04:40.5035208Z 
2025-08-14T22:04:40.5035316Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5035536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5035634Z     return mod(**inputs)
2025-08-14T22:04:40.5035910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5035994Z     outputs = self.model(
2025-08-14T22:04:40.5036273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5036358Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5036622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5036698Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5036942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5037027Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5037290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5037400Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5037664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-14T22:04:40.5037759Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:04:40.5037763Z 
2025-08-14T22:04:40.5037871Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5038078Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5038155Z     return mod(**inputs)
2025-08-14T22:04:40.5038420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5038492Z     outputs = self.model(
2025-08-14T22:04:40.5038764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5038844Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5039154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5039233Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5039470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5039558Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5039820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5039940Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5040203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-14T22:04:40.5040362Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-14T22:04:40.5040367Z 
2025-08-14T22:04:40.5040482Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5040691Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5040761Z     return mod(**inputs)
2025-08-14T22:04:40.5041059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5041135Z     outputs = self.model(
2025-08-14T22:04:40.5041418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5041498Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5041771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5041858Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5042104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5042216Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5042493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5042609Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5042880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-14T22:04:40.5042968Z     key_states = self.k_proj(current_states)
2025-08-14T22:04:40.5042972Z 
2025-08-14T22:04:40.5043083Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5043307Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5043381Z     return mod(**inputs)
2025-08-14T22:04:40.5043660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5043736Z     outputs = self.model(
2025-08-14T22:04:40.5044008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5044100Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5044375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5044454Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5044704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5044788Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5045068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5045185Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5045456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-14T22:04:40.5045558Z     value_states = self.v_proj(current_states)
2025-08-14T22:04:40.5045562Z 
2025-08-14T22:04:40.5045682Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5045781Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5045877Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5045962Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5046082Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5046296Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5046368Z     return mod(**inputs)
2025-08-14T22:04:40.5046648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5046723Z     outputs = self.model(
2025-08-14T22:04:40.5047004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5047086Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5047359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5047465Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5047704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5047791Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5048067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5048181Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5048455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.5048582Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.5048906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:04:40.5049062Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:04:40.5049067Z 
2025-08-14T22:04:40.5049179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5049401Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5049474Z     return mod(**inputs)
2025-08-14T22:04:40.5049747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5049829Z     outputs = self.model(
2025-08-14T22:04:40.5050179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5050274Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5050554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5050632Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5050888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5050977Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5051245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5051371Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5051639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.5051746Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.5052075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:04:40.5052195Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:04:40.5052199Z 
2025-08-14T22:04:40.5052364Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5052586Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5052658Z     return mod(**inputs)
2025-08-14T22:04:40.5052941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5053017Z     outputs = self.model(
2025-08-14T22:04:40.5053295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5053380Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5053657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5053749Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5053991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5054080Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5054381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5054496Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5054780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-14T22:04:40.5054869Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:04:40.5054872Z 
2025-08-14T22:04:40.5054983Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5055222Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5055312Z     return mod(**inputs)
2025-08-14T22:04:40.5055604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5055678Z     outputs = self.model(
2025-08-14T22:04:40.5055961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5056050Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5056332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5056410Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5056667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5056751Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5057026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-14T22:04:40.5057158Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.5057161Z 
2025-08-14T22:04:40.5057273Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5057494Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5057568Z     return mod(**inputs)
2025-08-14T22:04:40.5057856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5057931Z     outputs = self.model(
2025-08-14T22:04:40.5058213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5058301Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5058583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5058662Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5058917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5059036Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5059335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-14T22:04:40.5059464Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.5059692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:04:40.5059775Z     return self.act(input)
2025-08-14T22:04:40.5059779Z 
2025-08-14T22:04:40.5059888Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5060097Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5060176Z     return mod(**inputs)
2025-08-14T22:04:40.5060456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5060536Z     outputs = self.model(
2025-08-14T22:04:40.5060805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5060910Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5061181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5061259Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5061514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5061611Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5061879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 447, in forward
2025-08-14T22:04:40.5062189Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:04:40.5062253Z 
2025-08-14T22:04:40.5062625Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5062846Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5062931Z     return mod(**inputs)
2025-08-14T22:04:40.5063212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5063298Z     outputs = self.model(
2025-08-14T22:04:40.5063585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5063668Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5063952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5064031Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5064273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5064375Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5064657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5064778Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5065045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-14T22:04:40.5065210Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-14T22:04:40.5065214Z 
2025-08-14T22:04:40.5065337Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5065553Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5065634Z     return mod(**inputs)
2025-08-14T22:04:40.5065907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5065985Z     outputs = self.model(
2025-08-14T22:04:40.5066329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5066412Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5066689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5066776Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5067017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5067111Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5067387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5067493Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5067777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-14T22:04:40.5067864Z     key_states = self.k_proj(current_states)
2025-08-14T22:04:40.5067870Z 
2025-08-14T22:04:40.5067989Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5068235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5068307Z     return mod(**inputs)
2025-08-14T22:04:40.5068583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5068658Z     outputs = self.model(
2025-08-14T22:04:40.5068925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5069012Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5069280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5069390Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5069644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5069733Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5070016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5070123Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5070402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-14T22:04:40.5070496Z     value_states = self.v_proj(current_states)
2025-08-14T22:04:40.5070500Z 
2025-08-14T22:04:40.5070586Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5070676Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5070763Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5070845Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5070961Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5071183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5071258Z     return mod(**inputs)
2025-08-14T22:04:40.5071542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5071616Z     outputs = self.model(
2025-08-14T22:04:40.5071899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5071979Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5072255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5072339Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5072585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5072677Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5072983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5073094Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5073368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.5073476Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.5073796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:04:40.5073949Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:04:40.5073953Z 
2025-08-14T22:04:40.5074068Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5074294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5074366Z     return mod(**inputs)
2025-08-14T22:04:40.5074643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5074749Z     outputs = self.model(
2025-08-14T22:04:40.5075028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5075117Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5075391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5075469Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5075722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5075826Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5076099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5076216Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5076489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.5076601Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.5076925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:04:40.5077044Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:04:40.5077048Z 
2025-08-14T22:04:40.5077168Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5077383Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5077467Z     return mod(**inputs)
2025-08-14T22:04:40.5077744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5077822Z     outputs = self.model(
2025-08-14T22:04:40.5078109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5078193Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5078466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5078553Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5078799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5078894Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5079165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5079274Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5079650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-14T22:04:40.5079743Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:04:40.5079747Z 
2025-08-14T22:04:40.5079861Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5080087Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5080164Z     return mod(**inputs)
2025-08-14T22:04:40.5080449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5080527Z     outputs = self.model(
2025-08-14T22:04:40.5080806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5080901Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5081179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5081272Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5081521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5081628Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5081906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5082024Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5082294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-14T22:04:40.5082468Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-14T22:04:40.5082488Z 
2025-08-14T22:04:40.5082603Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5082822Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5082899Z     return mod(**inputs)
2025-08-14T22:04:40.5083170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5083255Z     outputs = self.model(
2025-08-14T22:04:40.5083526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5083617Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5083891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5083972Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5084222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5084311Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5084580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5084708Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5084977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-14T22:04:40.5085072Z     key_states = self.k_proj(current_states)
2025-08-14T22:04:40.5085076Z 
2025-08-14T22:04:40.5085188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5085402Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5085480Z     return mod(**inputs)
2025-08-14T22:04:40.5085751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5085827Z     outputs = self.model(
2025-08-14T22:04:40.5086105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5086222Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5086505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5086589Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5086831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5086922Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5087195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5087318Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5087590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-14T22:04:40.5087683Z     value_states = self.v_proj(current_states)
2025-08-14T22:04:40.5087687Z 
2025-08-14T22:04:40.5087781Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5087869Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5087973Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5088065Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5088176Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5088395Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5088466Z     return mod(**inputs)
2025-08-14T22:04:40.5088736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5088817Z     outputs = self.model(
2025-08-14T22:04:40.5089087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5089198Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5089481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5089557Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5089811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5089896Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5090229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5090358Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5090631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.5090738Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.5091070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:04:40.5091219Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:04:40.5091223Z 
2025-08-14T22:04:40.5091345Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5091562Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5091633Z     return mod(**inputs)
2025-08-14T22:04:40.5091916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5091991Z     outputs = self.model(
2025-08-14T22:04:40.5092277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5092357Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5092633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5092721Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5093006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5093106Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5093374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5093486Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5093753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.5093856Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.5094168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:04:40.5094294Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:04:40.5094298Z 
2025-08-14T22:04:40.5094405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5094627Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5094719Z     return mod(**inputs)
2025-08-14T22:04:40.5094995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5095079Z     outputs = self.model(
2025-08-14T22:04:40.5095352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5095435Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5095715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5095794Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5096062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5096147Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5096419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5096544Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5096812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-14T22:04:40.5096908Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:04:40.5096912Z 
2025-08-14T22:04:40.5097024Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5097240Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5097320Z     return mod(**inputs)
2025-08-14T22:04:40.5097612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5097687Z     outputs = self.model(
2025-08-14T22:04:40.5097985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5098067Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5098359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5098439Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5098693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5098785Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5099058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-14T22:04:40.5099184Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.5099195Z 
2025-08-14T22:04:40.5099304Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5099550Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5099630Z     return mod(**inputs)
2025-08-14T22:04:40.5099893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5099965Z     outputs = self.model(
2025-08-14T22:04:40.5100236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5100314Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5100589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5100667Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5100902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5100992Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5101251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-14T22:04:40.5101397Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.5101634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:04:40.5101706Z     return self.act(input)
2025-08-14T22:04:40.5101710Z 
2025-08-14T22:04:40.5101824Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5102034Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5102103Z     return mod(**inputs)
2025-08-14T22:04:40.5102375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5102469Z     outputs = self.model(
2025-08-14T22:04:40.5102750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5102838Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5103161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5103256Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5103495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5103576Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5103848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 447, in forward
2025-08-14T22:04:40.5103935Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:04:40.5103940Z 
2025-08-14T22:04:40.5104055Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5104265Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5104333Z     return mod(**inputs)
2025-08-14T22:04:40.5104611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5104684Z     outputs = self.model(
2025-08-14T22:04:40.5104947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5105033Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5105297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5105378Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5105613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5105701Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5105982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5106126Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5106400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-14T22:04:40.5106571Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-14T22:04:40.5106575Z 
2025-08-14T22:04:40.5106686Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5106905Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5106976Z     return mod(**inputs)
2025-08-14T22:04:40.5107251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5107335Z     outputs = self.model(
2025-08-14T22:04:40.5107614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5107704Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5107986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5108061Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5108306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5108390Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5108651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5108766Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5109037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-14T22:04:40.5109159Z     key_states = self.k_proj(current_states)
2025-08-14T22:04:40.5109162Z 
2025-08-14T22:04:40.5109276Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5109495Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5109577Z     return mod(**inputs)
2025-08-14T22:04:40.5109848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5109930Z     outputs = self.model(
2025-08-14T22:04:40.5110207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5110285Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5110558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5110638Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5110900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5110998Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5111269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5111384Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5111651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-14T22:04:40.5111744Z     value_states = self.v_proj(current_states)
2025-08-14T22:04:40.5111747Z 
2025-08-14T22:04:40.5111844Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5111930Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5112015Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5112109Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5112221Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5112442Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5112552Z     return mod(**inputs)
2025-08-14T22:04:40.5112828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5112913Z     outputs = self.model(
2025-08-14T22:04:40.5113183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5113264Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5113541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5113618Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5113873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5113961Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5114235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5114376Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5114646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.5114758Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.5115078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:04:40.5115224Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:04:40.5115227Z 
2025-08-14T22:04:40.5115348Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5115581Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5115653Z     return mod(**inputs)
2025-08-14T22:04:40.5115937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5116014Z     outputs = self.model(
2025-08-14T22:04:40.5116296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5116376Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5116653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5116740Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5116986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5117079Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5117354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5117462Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5117744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.5117852Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.5118174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:04:40.5118302Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:04:40.5118306Z 
2025-08-14T22:04:40.5118419Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5118639Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5118712Z     return mod(**inputs)
2025-08-14T22:04:40.5118991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5119076Z     outputs = self.model(
2025-08-14T22:04:40.5119385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5119470Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5119755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5119833Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5120081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5120166Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5120434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5120548Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5120819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-14T22:04:40.5120919Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:04:40.5120942Z 
2025-08-14T22:04:40.5121057Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5121272Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5121353Z     return mod(**inputs)
2025-08-14T22:04:40.5121626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5121701Z     outputs = self.model(
2025-08-14T22:04:40.5121980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5122061Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5122360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5122439Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5122683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5122780Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5123050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5123173Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5123441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-14T22:04:40.5123607Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-14T22:04:40.5123611Z 
2025-08-14T22:04:40.5123731Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5123949Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5124020Z     return mod(**inputs)
2025-08-14T22:04:40.5124303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5124381Z     outputs = self.model(
2025-08-14T22:04:40.5124663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5124743Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5125015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5125103Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5125345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5125430Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5125710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5125895Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5126178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-14T22:04:40.5126269Z     key_states = self.k_proj(current_states)
2025-08-14T22:04:40.5126273Z 
2025-08-14T22:04:40.5126390Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5126617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5126690Z     return mod(**inputs)
2025-08-14T22:04:40.5126975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5127050Z     outputs = self.model(
2025-08-14T22:04:40.5127331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5127419Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5127695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5127790Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5128042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5128129Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5128408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5128528Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5128799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-14T22:04:40.5128917Z     value_states = self.v_proj(current_states)
2025-08-14T22:04:40.5128921Z 
2025-08-14T22:04:40.5129009Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5129103Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5129189Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5129273Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5129391Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5130566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5130935Z     return mod(**inputs)
2025-08-14T22:04:40.5131388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5131476Z     outputs = self.model(
2025-08-14T22:04:40.5131782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5131894Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5132191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5132291Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5132557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5132655Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5133006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5133140Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5133428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.5133544Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.5133891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:04:40.5134057Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:04:40.5134064Z 
2025-08-14T22:04:40.5134365Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5134620Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5134702Z     return mod(**inputs)
2025-08-14T22:04:40.5134995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5135086Z     outputs = self.model(
2025-08-14T22:04:40.5135379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5135467Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5135765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5135851Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5136115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5136212Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5136523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5136654Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5136931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.5137045Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.5137539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:04:40.5137689Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:04:40.5137729Z 
2025-08-14T22:04:40.5137891Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5138150Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5138225Z     return mod(**inputs)
2025-08-14T22:04:40.5138627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5138708Z     outputs = self.model(
2025-08-14T22:04:40.5139001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5139084Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5139366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5139455Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5139705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5139795Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5140079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5140199Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5140505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-14T22:04:40.5140600Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:04:40.5140605Z 
2025-08-14T22:04:40.5140732Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5140983Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5141057Z     return mod(**inputs)
2025-08-14T22:04:40.5141363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5141442Z     outputs = self.model(
2025-08-14T22:04:40.5141807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5141899Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5142209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5142290Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5142575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5142666Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5142969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-14T22:04:40.5143110Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.5143116Z 
2025-08-14T22:04:40.5143231Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5143471Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5143548Z     return mod(**inputs)
2025-08-14T22:04:40.5143856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5143963Z     outputs = self.model(
2025-08-14T22:04:40.5144268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5144358Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5144666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5144745Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5145033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5145138Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5145436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-14T22:04:40.5145569Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.5145825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:04:40.5145909Z     return self.act(input)
2025-08-14T22:04:40.5145913Z 
2025-08-14T22:04:40.5146027Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5146271Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5146354Z     return mod(**inputs)
2025-08-14T22:04:40.5146659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5146744Z     outputs = self.model(
2025-08-14T22:04:40.5147045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5147123Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5147429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5147510Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5147774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5147868Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5148154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 447, in forward
2025-08-14T22:04:40.5148250Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:04:40.5148254Z 
2025-08-14T22:04:40.5148367Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5148606Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5148712Z     return mod(**inputs)
2025-08-14T22:04:40.5149062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5149149Z     outputs = self.model(
2025-08-14T22:04:40.5149450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5149530Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5149829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5149909Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5150228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5150323Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5150599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5150723Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5150999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-14T22:04:40.5151194Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-14T22:04:40.5151198Z 
2025-08-14T22:04:40.5151322Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5151559Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5151639Z     return mod(**inputs)
2025-08-14T22:04:40.5151927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5152007Z     outputs = self.model(
2025-08-14T22:04:40.5152315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5152397Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5152671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5152759Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5153010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5153107Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5153383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5153491Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5153770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-14T22:04:40.5153860Z     key_states = self.k_proj(current_states)
2025-08-14T22:04:40.5153864Z 
2025-08-14T22:04:40.5153976Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5154201Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5154274Z     return mod(**inputs)
2025-08-14T22:04:40.5154559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5154635Z     outputs = self.model(
2025-08-14T22:04:40.5154906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5154997Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5155282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5155366Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5155610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5155696Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5156007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5156119Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5156393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-14T22:04:40.5156495Z     value_states = self.v_proj(current_states)
2025-08-14T22:04:40.5156499Z 
2025-08-14T22:04:40.5156592Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5156690Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5156773Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5156856Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5156979Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5157214Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5157287Z     return mod(**inputs)
2025-08-14T22:04:40.5157588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5157682Z     outputs = self.model(
2025-08-14T22:04:40.5157980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5158060Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5158353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5158441Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5158698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5158806Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5159102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5159214Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5159508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.5159623Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.5159957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:04:40.5160116Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:04:40.5160120Z 
2025-08-14T22:04:40.5160236Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5160474Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5160553Z     return mod(**inputs)
2025-08-14T22:04:40.5160846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5160939Z     outputs = self.model(
2025-08-14T22:04:40.5161238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5161320Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5161610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5161692Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5161946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5162247Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5162653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5162778Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5163190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.5163319Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.5163645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:04:40.5163772Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:04:40.5163776Z 
2025-08-14T22:04:40.5163904Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5164128Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5164204Z     return mod(**inputs)
2025-08-14T22:04:40.5164491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5164571Z     outputs = self.model(
2025-08-14T22:04:40.5164861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5164944Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5165278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5165366Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5165612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5165704Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5165988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:04:40.5166095Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:04:40.5166406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-14T22:04:40.5166497Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:04:40.5166503Z 
2025-08-14T22:04:40.5166620Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5166850Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5166925Z     return mod(**inputs)
2025-08-14T22:04:40.5167206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5167280Z     outputs = self.model(
2025-08-14T22:04:40.5167555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5167645Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5167921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5168003Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5168261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5168352Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5168637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5168759Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5169031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-14T22:04:40.5169208Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-14T22:04:40.5169212Z 
2025-08-14T22:04:40.5169325Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5169551Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5169624Z     return mod(**inputs)
2025-08-14T22:04:40.5169947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5170038Z     outputs = self.model(
2025-08-14T22:04:40.5170438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5170533Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5170823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5170904Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5171160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5171246Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5171521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5171650Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5171929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-14T22:04:40.5172047Z     key_states = self.k_proj(current_states)
2025-08-14T22:04:40.5172063Z 
2025-08-14T22:04:40.5172178Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5172394Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5172477Z     return mod(**inputs)
2025-08-14T22:04:40.5172754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5172827Z     outputs = self.model(
2025-08-14T22:04:40.5173106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5173205Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5173498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5173577Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5173826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5173921Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5174200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5174316Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5174592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-14T22:04:40.5174685Z     value_states = self.v_proj(current_states)
2025-08-14T22:04:40.5174691Z 
2025-08-14T22:04:40.5174787Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5174875Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5174961Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5175057Z cudagraph partition due to non gpu ops
2025-08-14T22:04:40.5175170Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5175386Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5175465Z     return mod(**inputs)
2025-08-14T22:04:40.5175740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5175822Z     outputs = self.model(
2025-08-14T22:04:40.5176105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5176182Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5176458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5176534Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5176801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5176897Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5177159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5177282Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5177543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.5177650Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.5177970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:04:40.5178114Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:04:40.5178118Z 
2025-08-14T22:04:40.5178234Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5178448Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5178540Z     return mod(**inputs)
2025-08-14T22:04:40.5178814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5178887Z     outputs = self.model(
2025-08-14T22:04:40.5179155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5179244Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5179527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5179630Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5179867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5179953Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5180226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5180342Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5180618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:04:40.5180728Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:04:40.5181042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:04:40.5181166Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:04:40.5181172Z 
2025-08-14T22:04:40.5181281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5181491Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5181573Z     return mod(**inputs)
2025-08-14T22:04:40.5181840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5181924Z     outputs = self.model(
2025-08-14T22:04:40.5182204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5182283Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5182559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5182636Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5182880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5182964Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5183243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:04:40.5183398Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:04:40.5183664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-14T22:04:40.5183753Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:04:40.5183757Z 
2025-08-14T22:04:40.5183877Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5184088Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5184168Z     return mod(**inputs)
2025-08-14T22:04:40.5184435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5184509Z     outputs = self.model(
2025-08-14T22:04:40.5184786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5184868Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5185136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5185242Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5185481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5185574Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5185841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-14T22:04:40.5185968Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.5185972Z 
2025-08-14T22:04:40.5186088Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5186315Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5186393Z     return mod(**inputs)
2025-08-14T22:04:40.5186665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5186740Z     outputs = self.model(
2025-08-14T22:04:40.5187012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5187089Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5187350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5187435Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5203018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5203293Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5203644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-14T22:04:40.5203789Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:04:40.5204052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:04:40.5204134Z     return self.act(input)
2025-08-14T22:04:40.5204142Z 
2025-08-14T22:04:40.5204277Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5204506Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5204584Z     return mod(**inputs)
2025-08-14T22:04:40.5204876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:04:40.5204962Z     outputs = self.model(
2025-08-14T22:04:40.5205239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:04:40.5205334Z     decoder_outputs = self.decoder(
2025-08-14T22:04:40.5205726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:04:40.5205827Z     layer_outputs = decoder_layer(
2025-08-14T22:04:40.5206072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:04:40.5206167Z     return super().__call__(*args, **kwargs)
2025-08-14T22:04:40.5206445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 447, in forward
2025-08-14T22:04:40.5206535Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:04:40.5206540Z 
2025-08-14T22:04:40.5206665Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5206886Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5206962Z     return mod(**inputs)
2025-08-14T22:04:40.5207244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1490, in forward
2025-08-14T22:04:40.5207331Z     lm_logits = self.lm_head(outputs[0])
2025-08-14T22:04:40.5207368Z 
2025-08-14T22:04:40.5207484Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:04:40.5207708Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:04:40.5207781Z     return mod(**inputs)
2025-08-14T22:04:40.5208057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1491, in forward
2025-08-14T22:04:40.5208199Z     lm_logits = lm_logits + self.final_logits_bias.to(lm_logits.device)
2025-08-14T22:04:40.5208203Z 
2025-08-14T22:04:52.1997638Z Compilation time (from dynamo_timed): 31.032648812
2025-08-14T22:04:52.2447120Z pass
2025-08-14T22:04:52.2447581Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:04:52.2448470Z TIMING: _recursive_pre_grad_passes:0.00978 _recursive_joint_graph_passes:0.64817 _recursive_post_grad_passes:0.14138 async_compile.wait:0.69109 code_gen:9.89533 inductor_compile:13.43452 backend_compile:24.66484 gc:0.00266 entire_frame_compile:31.03265 total_wall_time:31.03265
2025-08-14T22:04:52.2449622Z STATS: call_* op count: 501 | FakeTensorMode.__torch_dispatch__:17362 | FakeTensor.__torch_dispatch__:6041 | attempt fast:43 | fast is_contiguous:42 | slow no contiguity match:1 | ProxyTorchDispatchMode.__torch_dispatch__:6295
2025-08-14T22:04:52.2450382Z Dynamo produced 1 graphs covering 501 ops with 0 graph breaks (0 unique)
2025-08-14T22:04:57.6208873Z 
2025-08-14T22:05:00.6922488Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:05:00.6922799Z loading model: 0it [00:03, ?it/s]
2025-08-14T22:05:00.6942206Z cpu  eval  hf_Bert                            
2025-08-14T22:05:02.2154158Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:05:02.8421701Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:05:03.5358811Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:05:19.4152346Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4152876Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4153259Z     return mod(**inputs)
2025-08-14T22:05:19.4153710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4154150Z     outputs = self.bert(
2025-08-14T22:05:19.4156099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 964, in forward
2025-08-14T22:05:19.4156586Z     embedding_output = self.embeddings(
2025-08-14T22:05:19.4157009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 187, in forward
2025-08-14T22:05:19.4158432Z     embeddings += position_embeddings
2025-08-14T22:05:19.4158621Z 
2025-08-14T22:05:19.4158715Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4158970Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4159190Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4159416Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4159637Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4159850Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4160124Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4160472Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4160695Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4160918Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4161135Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4161358Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4161660Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4162235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4162668Z     return mod(**inputs)
2025-08-14T22:05:19.4163065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4163488Z     outputs = self.bert(
2025-08-14T22:05:19.4163917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4164366Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4164790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4165218Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4165671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4166087Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4166524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4166953Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4167397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4167820Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4168233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4168649Z     self_outputs = self.self(
2025-08-14T22:05:19.4169056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4169467Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4169870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:05:19.4170524Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:05:19.4170826Z 
2025-08-14T22:05:19.4170943Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4171342Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4171689Z     return mod(**inputs)
2025-08-14T22:05:19.4172105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4172518Z     outputs = self.bert(
2025-08-14T22:05:19.4172913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4173332Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4173752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4174179Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4174668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4175073Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4175500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4175936Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4176357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4176776Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4177184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4177603Z     self_outputs = self.self(
2025-08-14T22:05:19.4178002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4178412Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4178838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:05:19.4179241Z     self.key(current_states)
2025-08-14T22:05:19.4179374Z 
2025-08-14T22:05:19.4179489Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4179882Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4180230Z     return mod(**inputs)
2025-08-14T22:05:19.4180612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4181022Z     outputs = self.bert(
2025-08-14T22:05:19.4181435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4181850Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4182273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4182692Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4183078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4183469Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4183891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4184320Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4184740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4185146Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4185547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4185961Z     self_outputs = self.self(
2025-08-14T22:05:19.4186348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4186755Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4187169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:05:19.4187572Z     self.value(current_states)
2025-08-14T22:05:19.4187698Z 
2025-08-14T22:05:19.4187785Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4188054Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4188456Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4188792Z     return mod(**inputs)
2025-08-14T22:05:19.4189171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4189580Z     outputs = self.bert(
2025-08-14T22:05:19.4190040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4190472Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4190877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4191283Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4191646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4192042Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4192468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4192883Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4193280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4193680Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4194097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4194500Z     self_outputs = self.self(
2025-08-14T22:05:19.4194881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4195279Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4195671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:05:19.4196135Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:05:19.4196338Z 
2025-08-14T22:05:19.4196496Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4196890Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4197238Z     return mod(**inputs)
2025-08-14T22:05:19.4197639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4198056Z     outputs = self.bert(
2025-08-14T22:05:19.4198440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4198879Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4199285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4199705Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4200086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4200487Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4200904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4201339Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4201749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4202138Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4202534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:05:19.4203005Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:05:19.4203469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:05:19.4203884Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4204049Z 
2025-08-14T22:05:19.4204161Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4204555Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4204959Z     return mod(**inputs)
2025-08-14T22:05:19.4205366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4205774Z     outputs = self.bert(
2025-08-14T22:05:19.4206166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4206580Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4206990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4207408Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4207782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4208164Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4208585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4209027Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4209507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4209945Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4210632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4211155Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4211631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:05:19.4212071Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4212258Z 
2025-08-14T22:05:19.4212385Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4212780Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4213151Z     return mod(**inputs)
2025-08-14T22:05:19.4213560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4213988Z     outputs = self.bert(
2025-08-14T22:05:19.4214389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4214835Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4215259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4215690Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4216071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4216487Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4216924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4217412Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4217862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4218310Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4218773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4219279Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4219767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:05:19.4220241Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:05:19.4220673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:05:19.4221086Z     return self.act(input)
2025-08-14T22:05:19.4221222Z 
2025-08-14T22:05:19.4221339Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4221737Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4222104Z     return mod(**inputs)
2025-08-14T22:05:19.4222501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4222915Z     outputs = self.bert(
2025-08-14T22:05:19.4223307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4223736Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4224154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4224572Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4224951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4225367Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4225785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4226214Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4226959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4227391Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4227833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:05:19.4228360Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:05:19.4228822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:05:19.4229245Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4229395Z 
2025-08-14T22:05:19.4229515Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4229901Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4230240Z     return mod(**inputs)
2025-08-14T22:05:19.4230622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4231028Z     outputs = self.bert(
2025-08-14T22:05:19.4231400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4231813Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4232219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4232629Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4232995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4233383Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4233792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4234202Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4234613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4235014Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4235408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4235807Z     self_outputs = self.self(
2025-08-14T22:05:19.4236194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4236627Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4237017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:05:19.4237564Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:05:19.4237849Z 
2025-08-14T22:05:19.4237961Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4238343Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4238679Z     return mod(**inputs)
2025-08-14T22:05:19.4239052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4239430Z     outputs = self.bert(
2025-08-14T22:05:19.4239784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4240170Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4240551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4240958Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4241301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4241668Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4242076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4242494Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4242894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4243309Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4243700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4244099Z     self_outputs = self.self(
2025-08-14T22:05:19.4244477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4244872Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4245260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:05:19.4245660Z     self.key(current_states)
2025-08-14T22:05:19.4245789Z 
2025-08-14T22:05:19.4245897Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4246278Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4246622Z     return mod(**inputs)
2025-08-14T22:05:19.4246996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4247394Z     outputs = self.bert(
2025-08-14T22:05:19.4247776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4248301Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4248712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4249119Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4249494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4249878Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4250357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4250796Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4251220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4251679Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4252096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4252530Z     self_outputs = self.self(
2025-08-14T22:05:19.4252915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4253322Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4253727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:05:19.4254134Z     self.value(current_states)
2025-08-14T22:05:19.4254270Z 
2025-08-14T22:05:19.4254357Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4254620Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4255010Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4255395Z     return mod(**inputs)
2025-08-14T22:05:19.4255786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4256222Z     outputs = self.bert(
2025-08-14T22:05:19.4256602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4257004Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4257405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4257810Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4258172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4258583Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4258999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4259419Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4259826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4260228Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4260624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4261031Z     self_outputs = self.self(
2025-08-14T22:05:19.4261409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4261810Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4262397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:05:19.4262876Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:05:19.4263084Z 
2025-08-14T22:05:19.4263201Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4263590Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4263941Z     return mod(**inputs)
2025-08-14T22:05:19.4264321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4264727Z     outputs = self.bert(
2025-08-14T22:05:19.4265109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4265522Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4265933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4266346Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4266719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4267191Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4267606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4268020Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4268414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4268811Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4269205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:05:19.4269670Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:05:19.4270119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:05:19.4270517Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4270667Z 
2025-08-14T22:05:19.4270775Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4271166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4271486Z     return mod(**inputs)
2025-08-14T22:05:19.4271856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4272242Z     outputs = self.bert(
2025-08-14T22:05:19.4272595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4272988Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4273368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4273779Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4274126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4274491Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4274877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4275261Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4275668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4276067Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4276479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4276930Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4277359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:05:19.4277749Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4277892Z 
2025-08-14T22:05:19.4278008Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4278360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4278683Z     return mod(**inputs)
2025-08-14T22:05:19.4279041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4279412Z     outputs = self.bert(
2025-08-14T22:05:19.4279817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4280206Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4280582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4280959Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4281339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4281703Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4282082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4282473Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4282874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4283269Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4283670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4284129Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4284553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:05:19.4284976Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:05:19.4285375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:05:19.4285722Z     return self.act(input)
2025-08-14T22:05:19.4285836Z 
2025-08-14T22:05:19.4285949Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4286308Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4286633Z     return mod(**inputs)
2025-08-14T22:05:19.4286998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4287381Z     outputs = self.bert(
2025-08-14T22:05:19.4287749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4288134Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4288517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4288895Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4289247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4289614Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4290012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4290513Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4290970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4291414Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4291854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:05:19.4292358Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:05:19.4292851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:05:19.4293293Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4293449Z 
2025-08-14T22:05:19.4293564Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4293981Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4294343Z     return mod(**inputs)
2025-08-14T22:05:19.4294741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4295161Z     outputs = self.bert(
2025-08-14T22:05:19.4295567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4296002Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4296460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4296878Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4297258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4297666Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4298084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4298506Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4298883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4299255Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4299609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4299987Z     self_outputs = self.self(
2025-08-14T22:05:19.4300367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4300728Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4301089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:05:19.4301590Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:05:19.4301843Z 
2025-08-14T22:05:19.4301954Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4302298Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4302631Z     return mod(**inputs)
2025-08-14T22:05:19.4303002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4303370Z     outputs = self.bert(
2025-08-14T22:05:19.4303715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4304092Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4304464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4304831Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4305168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4305526Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4305902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4306279Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4306656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4307027Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4307381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4307757Z     self_outputs = self.self(
2025-08-14T22:05:19.4308113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4308477Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4308832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:05:19.4309199Z     self.key(current_states)
2025-08-14T22:05:19.4309312Z 
2025-08-14T22:05:19.4309421Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4309771Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4310128Z     return mod(**inputs)
2025-08-14T22:05:19.4310488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4310865Z     outputs = self.bert(
2025-08-14T22:05:19.4311216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4311601Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4311973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4312353Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4312684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4313045Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4313428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4313813Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4314215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4314594Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4314955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4315323Z     self_outputs = self.self(
2025-08-14T22:05:19.4315685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4316055Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4316415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:05:19.4316820Z     self.value(current_states)
2025-08-14T22:05:19.4316945Z 
2025-08-14T22:05:19.4317028Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4317275Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4317633Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4317960Z     return mod(**inputs)
2025-08-14T22:05:19.4318319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4318692Z     outputs = self.bert(
2025-08-14T22:05:19.4319053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4319439Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4319818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4320197Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4320548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4320913Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4321293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4321687Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4322075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4322455Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4322821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4323208Z     self_outputs = self.self(
2025-08-14T22:05:19.4323577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4323957Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4324370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:05:19.4324833Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:05:19.4325019Z 
2025-08-14T22:05:19.4325131Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4325494Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4325827Z     return mod(**inputs)
2025-08-14T22:05:19.4326197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4326581Z     outputs = self.bert(
2025-08-14T22:05:19.4326935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4327328Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4327725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4328127Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4328477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4328838Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4329225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4329616Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4330001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4330502Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4330933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:05:19.4331431Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:05:19.4331914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:05:19.4332359Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4332514Z 
2025-08-14T22:05:19.4332629Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4333037Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4333405Z     return mod(**inputs)
2025-08-14T22:05:19.4333807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4334221Z     outputs = self.bert(
2025-08-14T22:05:19.4334624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4335058Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4335462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4335882Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4336260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4336657Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4337067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4337495Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4337941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4338375Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4338821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4339362Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4339835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:05:19.4340269Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4340437Z 
2025-08-14T22:05:19.4340553Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4340972Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4341348Z     return mod(**inputs)
2025-08-14T22:05:19.4341744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4342168Z     outputs = self.bert(
2025-08-14T22:05:19.4342574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4343046Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4343474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4343912Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4344290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4344730Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4345134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4345552Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4345980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4346410Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4346845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4347326Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4347773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:05:19.4348225Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:05:19.4348632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:05:19.4348994Z     return self.act(input)
2025-08-14T22:05:19.4349114Z 
2025-08-14T22:05:19.4349225Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4349610Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4349951Z     return mod(**inputs)
2025-08-14T22:05:19.4350326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4350725Z     outputs = self.bert(
2025-08-14T22:05:19.4351108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4351517Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4351907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4352308Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4352673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4353063Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4353461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4353879Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4354308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4354757Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4355202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:05:19.4355701Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:05:19.4356167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:05:19.4356576Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4356729Z 
2025-08-14T22:05:19.4356841Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4357221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4357560Z     return mod(**inputs)
2025-08-14T22:05:19.4357941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4358350Z     outputs = self.bert(
2025-08-14T22:05:19.4358728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4359193Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4359598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4360005Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4360373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4360752Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4361161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4361599Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4362132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4362556Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4362957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4363366Z     self_outputs = self.self(
2025-08-14T22:05:19.4363756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4364169Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4364584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:05:19.4365136Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:05:19.4365438Z 
2025-08-14T22:05:19.4365554Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4365957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4366315Z     return mod(**inputs)
2025-08-14T22:05:19.4366709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4367243Z     outputs = self.bert(
2025-08-14T22:05:19.4367639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4368078Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4368490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4368914Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4369297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4369694Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4370308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4370773Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4371192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4371597Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4372004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4372422Z     self_outputs = self.self(
2025-08-14T22:05:19.4372810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4373221Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4373628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:05:19.4374048Z     self.key(current_states)
2025-08-14T22:05:19.4374175Z 
2025-08-14T22:05:19.4374289Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4374725Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4375077Z     return mod(**inputs)
2025-08-14T22:05:19.4375459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4375872Z     outputs = self.bert(
2025-08-14T22:05:19.4376261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4376751Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4377157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4377618Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4378014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4378418Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4378835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4379261Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4379725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4380122Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4380515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4380919Z     self_outputs = self.self(
2025-08-14T22:05:19.4381313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4381759Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4382156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:05:19.4382571Z     self.value(current_states)
2025-08-14T22:05:19.4382696Z 
2025-08-14T22:05:19.4382785Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4383050Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4383437Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4383782Z     return mod(**inputs)
2025-08-14T22:05:19.4384161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4384562Z     outputs = self.bert(
2025-08-14T22:05:19.4384940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4385345Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4385793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4386207Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4386577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4386958Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4387367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4387786Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4388182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4388579Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4388974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4389377Z     self_outputs = self.self(
2025-08-14T22:05:19.4389757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4390179Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4390569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:05:19.4391034Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:05:19.4391219Z 
2025-08-14T22:05:19.4391324Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4391687Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4392012Z     return mod(**inputs)
2025-08-14T22:05:19.4392363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4392767Z     outputs = self.bert(
2025-08-14T22:05:19.4393127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4393514Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4393885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4394269Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4394617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4394975Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4395364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4395756Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4396142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4396512Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4396883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:05:19.4397331Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:05:19.4397765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:05:19.4398152Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4398301Z 
2025-08-14T22:05:19.4398405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4398767Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4399085Z     return mod(**inputs)
2025-08-14T22:05:19.4399450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4399829Z     outputs = self.bert(
2025-08-14T22:05:19.4400232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4400614Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4400987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4401371Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4401708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4402070Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4402453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4402847Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4403262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4403659Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4404073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4404555Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4404978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:05:19.4405371Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4405509Z 
2025-08-14T22:05:19.4405622Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4405977Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4406305Z     return mod(**inputs)
2025-08-14T22:05:19.4406687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4407068Z     outputs = self.bert(
2025-08-14T22:05:19.4407429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4407841Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4408244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4408641Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4409012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4409397Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4409805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4410308Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4410760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4411202Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4411662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4412145Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4412606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:05:19.4413057Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:05:19.4413460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:05:19.4413828Z     return self.act(input)
2025-08-14T22:05:19.4413955Z 
2025-08-14T22:05:19.4414068Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4414458Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4414796Z     return mod(**inputs)
2025-08-14T22:05:19.4415224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4415635Z     outputs = self.bert(
2025-08-14T22:05:19.4416009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4416424Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4416831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4417242Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4417608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4417999Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4418412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4418836Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4419288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4419715Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4420155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:05:19.4420653Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:05:19.4421127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:05:19.4421550Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4421753Z 
2025-08-14T22:05:19.4421872Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4422252Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4422600Z     return mod(**inputs)
2025-08-14T22:05:19.4422984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4423385Z     outputs = self.bert(
2025-08-14T22:05:19.4423756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4424167Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4424570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4424965Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4425340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4425732Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4426149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4426563Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4426974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4427377Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4427761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4428164Z     self_outputs = self.self(
2025-08-14T22:05:19.4428589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4428996Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4429384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:05:19.4429974Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:05:19.4430259Z 
2025-08-14T22:05:19.4430379Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4430762Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4431095Z     return mod(**inputs)
2025-08-14T22:05:19.4431474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4431867Z     outputs = self.bert(
2025-08-14T22:05:19.4432222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4432609Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4432996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4433377Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4433726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4434124Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4434510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4434900Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4435296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4435695Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4436087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4436527Z     self_outputs = self.self(
2025-08-14T22:05:19.4436917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4437320Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4437711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:05:19.4438119Z     self.key(current_states)
2025-08-14T22:05:19.4438248Z 
2025-08-14T22:05:19.4438359Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4438746Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4439286Z     return mod(**inputs)
2025-08-14T22:05:19.4439680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4440065Z     outputs = self.bert(
2025-08-14T22:05:19.4440417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4440815Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4441204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4441596Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4441941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4442313Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4442702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4443097Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4443476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4443852Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4444225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4444601Z     self_outputs = self.self(
2025-08-14T22:05:19.4445007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4445382Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4445752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:05:19.4446126Z     self.value(current_states)
2025-08-14T22:05:19.4446258Z 
2025-08-14T22:05:19.4446344Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4446598Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4446975Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4447319Z     return mod(**inputs)
2025-08-14T22:05:19.4447702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4448099Z     outputs = self.bert(
2025-08-14T22:05:19.4448473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4448906Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4449312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4449712Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4450089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4450549Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4450971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4451389Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4451841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4452251Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4452636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4453046Z     self_outputs = self.self(
2025-08-14T22:05:19.4453432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4453831Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4454216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:05:19.4454686Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:05:19.4454891Z 
2025-08-14T22:05:19.4455002Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4455388Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4455723Z     return mod(**inputs)
2025-08-14T22:05:19.4456108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4456517Z     outputs = self.bert(
2025-08-14T22:05:19.4456892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4457306Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4457708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4458111Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4458469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4458853Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4459276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4459695Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4460159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4460560Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4460955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:05:19.4461414Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:05:19.4461877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:05:19.4462487Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4462637Z 
2025-08-14T22:05:19.4462759Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4463136Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4463486Z     return mod(**inputs)
2025-08-14T22:05:19.4463879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4464348Z     outputs = self.bert(
2025-08-14T22:05:19.4464735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4465151Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4465554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4465956Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4466329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4466749Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4467155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4467584Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4468018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4468445Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4468878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4469364Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4469822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:05:19.4470243Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4470391Z 
2025-08-14T22:05:19.4470503Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4470888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4471234Z     return mod(**inputs)
2025-08-14T22:05:19.4471615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4472024Z     outputs = self.bert(
2025-08-14T22:05:19.4472408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4472824Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4473224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4473637Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4473989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4474353Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4474773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4475249Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4475689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4476106Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4476548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4477033Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4477490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:05:19.4477950Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:05:19.4478365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:05:19.4478731Z     return self.act(input)
2025-08-14T22:05:19.4478849Z 
2025-08-14T22:05:19.4478961Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4479372Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4479721Z     return mod(**inputs)
2025-08-14T22:05:19.4480108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4480509Z     outputs = self.bert(
2025-08-14T22:05:19.4480889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4481321Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4481730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4482176Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4482555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4482964Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4483385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4483817Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4484262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4484698Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4485140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:05:19.4485657Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:05:19.4486137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:05:19.4486555Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4486716Z 
2025-08-14T22:05:19.4486828Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4487242Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4487608Z     return mod(**inputs)
2025-08-14T22:05:19.4488009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4488436Z     outputs = self.bert(
2025-08-14T22:05:19.4488837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4489272Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4489677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4490098Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4490613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4491016Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4491436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4491864Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4492286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4492691Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4493098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4493514Z     self_outputs = self.self(
2025-08-14T22:05:19.4493905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4494321Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4494725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:05:19.4495325Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:05:19.4495615Z 
2025-08-14T22:05:19.4495729Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4496128Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4496499Z     return mod(**inputs)
2025-08-14T22:05:19.4496897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4497308Z     outputs = self.bert(
2025-08-14T22:05:19.4497716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4498154Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4498562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4498984Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4499365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4499761Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4500159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4500575Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4500979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4501368Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4501758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4502164Z     self_outputs = self.self(
2025-08-14T22:05:19.4502550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4502938Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4503328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:05:19.4503729Z     self.key(current_states)
2025-08-14T22:05:19.4503852Z 
2025-08-14T22:05:19.4503963Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4504345Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4504687Z     return mod(**inputs)
2025-08-14T22:05:19.4505064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4505462Z     outputs = self.bert(
2025-08-14T22:05:19.4505878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4506297Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4506704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4507105Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4507479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4507864Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4508271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4508690Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4509097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4509494Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4509884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4510309Z     self_outputs = self.self(
2025-08-14T22:05:19.4510699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4511090Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4511486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:05:19.4511892Z     self.value(current_states)
2025-08-14T22:05:19.4512015Z 
2025-08-14T22:05:19.4512112Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4512363Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4512769Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4513117Z     return mod(**inputs)
2025-08-14T22:05:19.4513497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4513901Z     outputs = self.bert(
2025-08-14T22:05:19.4514284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4514693Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4515088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4515495Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4515868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4516246Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4516656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4517072Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4517475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4517866Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4518259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4518663Z     self_outputs = self.self(
2025-08-14T22:05:19.4519045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4519435Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4519828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:05:19.4520299Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:05:19.4520494Z 
2025-08-14T22:05:19.4520606Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4521033Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4521378Z     return mod(**inputs)
2025-08-14T22:05:19.4521763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4522160Z     outputs = self.bert(
2025-08-14T22:05:19.4522539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4522950Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4523344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4523753Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4524120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4524503Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4524908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4525342Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4525745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4526134Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4526524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:05:19.4526985Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:05:19.4527442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:05:19.4527873Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4528031Z 
2025-08-14T22:05:19.4528146Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4528531Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4528876Z     return mod(**inputs)
2025-08-14T22:05:19.4529260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4529664Z     outputs = self.bert(
2025-08-14T22:05:19.4530058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4530568Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4530989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4531419Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4531794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4532182Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4532596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4533018Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4533444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4533871Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4534312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4534798Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4535243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:05:19.4535667Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4535821Z 
2025-08-14T22:05:19.4535970Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4536362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4536698Z     return mod(**inputs)
2025-08-14T22:05:19.4537081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4537488Z     outputs = self.bert(
2025-08-14T22:05:19.4537862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4538278Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4538680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4539090Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4539453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4539844Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4540279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4540702Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4541130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4541556Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4541993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4542469Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4542947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:05:19.4543397Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:05:19.4543811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:05:19.4544173Z     return self.act(input)
2025-08-14T22:05:19.4544300Z 
2025-08-14T22:05:19.4544408Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4544795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4545162Z     return mod(**inputs)
2025-08-14T22:05:19.4545548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4545953Z     outputs = self.bert(
2025-08-14T22:05:19.4546335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4546746Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4547157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4547570Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4547939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4548331Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4548749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4549169Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4549598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4550025Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4550469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:05:19.4551020Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:05:19.4551506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:05:19.4551959Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4552110Z 
2025-08-14T22:05:19.4552232Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4552632Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4552995Z     return mod(**inputs)
2025-08-14T22:05:19.4553400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4553825Z     outputs = self.bert(
2025-08-14T22:05:19.4554203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4554617Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4555035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4555472Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4555848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4556249Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4556673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4557102Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4557521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4557948Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4558350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4558765Z     self_outputs = self.self(
2025-08-14T22:05:19.4559168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4559575Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4559968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:05:19.4560541Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:05:19.4560833Z 
2025-08-14T22:05:19.4560947Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4561336Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4561677Z     return mod(**inputs)
2025-08-14T22:05:19.4562242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4562669Z     outputs = self.bert(
2025-08-14T22:05:19.4562949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4563041Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4563314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4563394Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4563649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4563735Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4564006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4564106Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4564369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4564537Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4564813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4564890Z     self_outputs = self.self(
2025-08-14T22:05:19.4565163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4565239Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4565519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:05:19.4565597Z     self.key(current_states)
2025-08-14T22:05:19.4565601Z 
2025-08-14T22:05:19.4565715Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4565941Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4566014Z     return mod(**inputs)
2025-08-14T22:05:19.4566292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4566403Z     outputs = self.bert(
2025-08-14T22:05:19.4566677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4566766Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4567037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4567115Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4567366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4567453Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4567749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4567848Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4568112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4568196Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4568464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4568541Z     self_outputs = self.self(
2025-08-14T22:05:19.4568811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4568886Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4569160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:05:19.4569242Z     self.value(current_states)
2025-08-14T22:05:19.4569246Z 
2025-08-14T22:05:19.4569335Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4569459Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4569676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4569749Z     return mod(**inputs)
2025-08-14T22:05:19.4570029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4570099Z     outputs = self.bert(
2025-08-14T22:05:19.4570442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4570527Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4570797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4570885Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4571130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4571252Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4571532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4571630Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4571912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4571993Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4572265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4572354Z     self_outputs = self.self(
2025-08-14T22:05:19.4572620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4572701Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4572983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:05:19.4573133Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:05:19.4573157Z 
2025-08-14T22:05:19.4573282Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4573497Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4573569Z     return mod(**inputs)
2025-08-14T22:05:19.4573854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4573925Z     outputs = self.bert(
2025-08-14T22:05:19.4574207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4574308Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4574587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4574676Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4574932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4575016Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4575293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4575379Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4575650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4575724Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4575996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:05:19.4576145Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:05:19.4576419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:05:19.4576510Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4576522Z 
2025-08-14T22:05:19.4576632Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4576849Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4576927Z     return mod(**inputs)
2025-08-14T22:05:19.4577199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4577270Z     outputs = self.bert(
2025-08-14T22:05:19.4577548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4577626Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4577903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4578018Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4578258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4578348Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4578610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4578700Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4578985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4579067Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4579369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4579497Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4579762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:05:19.4579878Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4579882Z 
2025-08-14T22:05:19.4579991Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4580209Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4580278Z     return mod(**inputs)
2025-08-14T22:05:19.4580546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4580624Z     outputs = self.bert(
2025-08-14T22:05:19.4580890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4580997Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4581275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4581352Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4581597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4581680Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4581943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4582039Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4582322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4582405Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4582715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4582843Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4583121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:05:19.4583245Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:05:19.4583475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:05:19.4583558Z     return self.act(input)
2025-08-14T22:05:19.4583562Z 
2025-08-14T22:05:19.4583671Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4583894Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4583964Z     return mod(**inputs)
2025-08-14T22:05:19.4584234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4584314Z     outputs = self.bert(
2025-08-14T22:05:19.4584616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4584699Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4584974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4585051Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4585300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4585385Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4585650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4585746Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4586034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4586121Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4586429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:05:19.4586588Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:05:19.4586859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:05:19.4586946Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4586949Z 
2025-08-14T22:05:19.4587058Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4587274Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4587343Z     return mod(**inputs)
2025-08-14T22:05:19.4587634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4587703Z     outputs = self.bert(
2025-08-14T22:05:19.4587966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4588054Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4588314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4588395Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4588635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4588719Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4588984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4589073Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4589328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4589414Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4589675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4589759Z     self_outputs = self.self(
2025-08-14T22:05:19.4590016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4590091Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4590360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:05:19.4590583Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:05:19.4590588Z 
2025-08-14T22:05:19.4590706Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4590915Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4590983Z     return mod(**inputs)
2025-08-14T22:05:19.4591290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4591364Z     outputs = self.bert(
2025-08-14T22:05:19.4591627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4591714Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4591976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4592059Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4592294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4592379Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4592649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4592739Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4593012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4593095Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4593350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4593432Z     self_outputs = self.self(
2025-08-14T22:05:19.4593683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4593757Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4594021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:05:19.4594119Z     self.key(current_states)
2025-08-14T22:05:19.4594122Z 
2025-08-14T22:05:19.4594231Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4594448Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4594518Z     return mod(**inputs)
2025-08-14T22:05:19.4594785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4594852Z     outputs = self.bert(
2025-08-14T22:05:19.4595114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4595198Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4595457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4595541Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4595776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4595860Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4596127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4596214Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4596469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4596550Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4596810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4596891Z     self_outputs = self.self(
2025-08-14T22:05:19.4597146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4597221Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4597524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:05:19.4597604Z     self.value(current_states)
2025-08-14T22:05:19.4597609Z 
2025-08-14T22:05:19.4597696Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4597813Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4598030Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4598105Z     return mod(**inputs)
2025-08-14T22:05:19.4598381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4598450Z     outputs = self.bert(
2025-08-14T22:05:19.4598731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4598813Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4599084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4599169Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4599418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4599511Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4599770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4599857Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4600120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4600194Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4600462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4600557Z     self_outputs = self.self(
2025-08-14T22:05:19.4600814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4600896Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4601155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:05:19.4601295Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:05:19.4601299Z 
2025-08-14T22:05:19.4601416Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4601627Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4601702Z     return mod(**inputs)
2025-08-14T22:05:19.4601967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4602039Z     outputs = self.bert(
2025-08-14T22:05:19.4602310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4602391Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4602654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4602736Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4602969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4603057Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4603319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4603404Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4603665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4603741Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4604039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:05:19.4604181Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:05:19.4604442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:05:19.4604538Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4604541Z 
2025-08-14T22:05:19.4604652Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4604864Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4604946Z     return mod(**inputs)
2025-08-14T22:05:19.4605214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4605292Z     outputs = self.bert(
2025-08-14T22:05:19.4605556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4605636Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4605964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4606040Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4606282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4606364Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4606624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4606720Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4606997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4607101Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4607409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4607537Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4607809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:05:19.4607896Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4607900Z 
2025-08-14T22:05:19.4608007Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4608223Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4608292Z     return mod(**inputs)
2025-08-14T22:05:19.4608559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4608637Z     outputs = self.bert(
2025-08-14T22:05:19.4608904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4608991Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4609267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4609345Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4609605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4609700Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4609969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4610055Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4610407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4610504Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4610854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4610989Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4611275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:05:19.4611398Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:05:19.4611636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:05:19.4611715Z     return self.act(input)
2025-08-14T22:05:19.4611719Z 
2025-08-14T22:05:19.4611829Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4612059Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4612132Z     return mod(**inputs)
2025-08-14T22:05:19.4612413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4612504Z     outputs = self.bert(
2025-08-14T22:05:19.4612780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4612867Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4613153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4613232Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4613487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4613572Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4613880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4613971Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4614266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4614361Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4614673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:05:19.4614816Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:05:19.4615092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:05:19.4615181Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4615184Z 
2025-08-14T22:05:19.4615307Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4615523Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4615594Z     return mod(**inputs)
2025-08-14T22:05:19.4615877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4615949Z     outputs = self.bert(
2025-08-14T22:05:19.4616231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4616311Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4616580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4616667Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4616908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4616997Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4617272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4617404Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4617681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4617757Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4618021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4618106Z     self_outputs = self.self(
2025-08-14T22:05:19.4618368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4618443Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4618718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:05:19.4618945Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:05:19.4618950Z 
2025-08-14T22:05:19.4619073Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4619306Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4619377Z     return mod(**inputs)
2025-08-14T22:05:19.4619672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4619742Z     outputs = self.bert(
2025-08-14T22:05:19.4620021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4620101Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4620370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4620476Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4620722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4620811Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4621097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4621185Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4621463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4621540Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4621815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4621899Z     self_outputs = self.self(
2025-08-14T22:05:19.4622169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4622280Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4622558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:05:19.4622636Z     self.key(current_states)
2025-08-14T22:05:19.4622639Z 
2025-08-14T22:05:19.4622761Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4622983Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4623053Z     return mod(**inputs)
2025-08-14T22:05:19.4623343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4623414Z     outputs = self.bert(
2025-08-14T22:05:19.4623701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4623782Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4624057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4624176Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4624427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4624509Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4624777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4624862Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4625123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4625195Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4625451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4625533Z     self_outputs = self.self(
2025-08-14T22:05:19.4625792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4625893Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4626162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:05:19.4626239Z     self.value(current_states)
2025-08-14T22:05:19.4626243Z 
2025-08-14T22:05:19.4626338Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4626447Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4626661Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4626737Z     return mod(**inputs)
2025-08-14T22:05:19.4627006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4627100Z     outputs = self.bert(
2025-08-14T22:05:19.4627368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4627451Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4627725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4627800Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4628036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4628128Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4628396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4628489Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4628749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4628825Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4629100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4629178Z     self_outputs = self.self(
2025-08-14T22:05:19.4629435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4629517Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4629783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:05:19.4629932Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:05:19.4629935Z 
2025-08-14T22:05:19.4630044Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4630257Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4630336Z     return mod(**inputs)
2025-08-14T22:05:19.4630654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4630734Z     outputs = self.bert(
2025-08-14T22:05:19.4630998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4631076Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4631342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4631418Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4631653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4631744Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4632005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4632101Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4632359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4632459Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4632731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:05:19.4632869Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:05:19.4633142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:05:19.4633231Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4633235Z 
2025-08-14T22:05:19.4633345Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4633565Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4633655Z     return mod(**inputs)
2025-08-14T22:05:19.4633929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4634010Z     outputs = self.bert(
2025-08-14T22:05:19.4634278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4634364Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4634631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4634705Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4634952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4635032Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4635302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4635398Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4635687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4635777Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4636075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4636203Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4636475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:05:19.4636563Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4636566Z 
2025-08-14T22:05:19.4636682Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4636894Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4636964Z     return mod(**inputs)
2025-08-14T22:05:19.4637271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4637345Z     outputs = self.bert(
2025-08-14T22:05:19.4637613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4637700Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4637962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4638044Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4638279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4638361Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4638632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4638720Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4639009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4639109Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4639400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4639535Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4639792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:05:19.4639909Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:05:19.4640140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:05:19.4640238Z     return self.act(input)
2025-08-14T22:05:19.4640242Z 
2025-08-14T22:05:19.4640357Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4640570Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4640641Z     return mod(**inputs)
2025-08-14T22:05:19.4640915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4640983Z     outputs = self.bert(
2025-08-14T22:05:19.4641252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4641341Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4641609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4641697Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4641945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4642030Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4642296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4642386Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4642680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4642760Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4643062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:05:19.4643212Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:05:19.4643481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:05:19.4643572Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4643583Z 
2025-08-14T22:05:19.4644773Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4645019Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4645096Z     return mod(**inputs)
2025-08-14T22:05:19.4645369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4645442Z     outputs = self.bert(
2025-08-14T22:05:19.4645722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4645805Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4646081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4646160Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4646402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4646501Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4646794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4646883Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4647157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4647235Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4647511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4647588Z     self_outputs = self.self(
2025-08-14T22:05:19.4647854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4647965Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4648241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:05:19.4648472Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:05:19.4648484Z 
2025-08-14T22:05:19.4648596Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4648813Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4648892Z     return mod(**inputs)
2025-08-14T22:05:19.4649170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4649241Z     outputs = self.bert(
2025-08-14T22:05:19.4649525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4649606Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4649891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4649972Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4650293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4650395Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4650665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4650753Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4651026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4651102Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4651382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4651459Z     self_outputs = self.self(
2025-08-14T22:05:19.4651765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4651856Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4652127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:05:19.4652205Z     self.key(current_states)
2025-08-14T22:05:19.4652219Z 
2025-08-14T22:05:19.4652334Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4652549Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4652631Z     return mod(**inputs)
2025-08-14T22:05:19.4652905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4652980Z     outputs = self.bert(
2025-08-14T22:05:19.4653263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4653347Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4653648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4653726Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4653969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4654062Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4654331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4654419Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4654693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4654792Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4655074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4655151Z     self_outputs = self.self(
2025-08-14T22:05:19.4655418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4655504Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4655779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:05:19.4655860Z     self.value(current_states)
2025-08-14T22:05:19.4655874Z 
2025-08-14T22:05:19.4655966Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4656078Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4656303Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4656377Z     return mod(**inputs)
2025-08-14T22:05:19.4656661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4656742Z     outputs = self.bert(
2025-08-14T22:05:19.4657020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4657100Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4657381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4657458Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4657710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4657795Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4658077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4658172Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4658478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4658564Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4658826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4658898Z     self_outputs = self.self(
2025-08-14T22:05:19.4659166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4659239Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4659507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:05:19.4659660Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:05:19.4659664Z 
2025-08-14T22:05:19.4659775Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4659993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4660082Z     return mod(**inputs)
2025-08-14T22:05:19.4660353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4660430Z     outputs = self.bert(
2025-08-14T22:05:19.4660703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4660780Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4661056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4661134Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4661398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4661482Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4661752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4661850Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4662314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4662404Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4662675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:05:19.4662815Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:05:19.4663094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:05:19.4663191Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4663195Z 
2025-08-14T22:05:19.4663308Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4663536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4663611Z     return mod(**inputs)
2025-08-14T22:05:19.4663895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4663968Z     outputs = self.bert(
2025-08-14T22:05:19.4664241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4664332Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4664606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4664689Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4664928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4665011Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4665364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4665458Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4665739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4665832Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4666132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4666268Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4666534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:05:19.4666623Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4666626Z 
2025-08-14T22:05:19.4666744Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4666957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4667066Z     return mod(**inputs)
2025-08-14T22:05:19.4667332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4667404Z     outputs = self.bert(
2025-08-14T22:05:19.4667676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4667753Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4668014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4668125Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4668360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4668449Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4668711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4668801Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4669085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4669165Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4669460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4669593Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4669855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:05:19.4669981Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:05:19.4670210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:05:19.4670286Z     return self.act(input)
2025-08-14T22:05:19.4670290Z 
2025-08-14T22:05:19.4670405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4670616Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4670692Z     return mod(**inputs)
2025-08-14T22:05:19.4670955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4671025Z     outputs = self.bert(
2025-08-14T22:05:19.4671297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4671378Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4671642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4671756Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4671992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4672083Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4672343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4672429Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4672711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4672792Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4673087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:05:19.4673237Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:05:19.4673505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:05:19.4673617Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4673621Z 
2025-08-14T22:05:19.4673731Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4673944Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4674026Z     return mod(**inputs)
2025-08-14T22:05:19.4674295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4674379Z     outputs = self.bert(
2025-08-14T22:05:19.4674646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4674747Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4675023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4675097Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4675332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4675421Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4675681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4675772Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4676032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4676107Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4676390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4676466Z     self_outputs = self.self(
2025-08-14T22:05:19.4676747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4676825Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4677095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:05:19.4677340Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:05:19.4677344Z 
2025-08-14T22:05:19.4677453Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4677666Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4677741Z     return mod(**inputs)
2025-08-14T22:05:19.4678008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4678086Z     outputs = self.bert(
2025-08-14T22:05:19.4678387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4678468Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4678737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4678811Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4679041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4679130Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4679387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4679478Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4679735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4679807Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4680078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4680174Z     self_outputs = self.self(
2025-08-14T22:05:19.4680440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4680512Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4680774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:05:19.4680855Z     self.key(current_states)
2025-08-14T22:05:19.4680858Z 
2025-08-14T22:05:19.4680969Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4681176Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4681285Z     return mod(**inputs)
2025-08-14T22:05:19.4681553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4681632Z     outputs = self.bert(
2025-08-14T22:05:19.4681897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4681975Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4682245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4682320Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4682554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4682646Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4682908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4683001Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4683260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4683337Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4683604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4683677Z     self_outputs = self.self(
2025-08-14T22:05:19.4683939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4684012Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4684271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:05:19.4684355Z     self.value(current_states)
2025-08-14T22:05:19.4684360Z 
2025-08-14T22:05:19.4684446Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4684556Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4684810Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4684884Z     return mod(**inputs)
2025-08-14T22:05:19.4685171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4685240Z     outputs = self.bert(
2025-08-14T22:05:19.4685508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4685595Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4685857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4685931Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4686175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4686257Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4686529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4686635Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4686889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4686969Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4687228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4687301Z     self_outputs = self.self(
2025-08-14T22:05:19.4687563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4687654Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4687928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:05:19.4688073Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:05:19.4688078Z 
2025-08-14T22:05:19.4688189Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4688412Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4688482Z     return mod(**inputs)
2025-08-14T22:05:19.4688758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4688828Z     outputs = self.bert(
2025-08-14T22:05:19.4689096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4689183Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4689453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4689528Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4689780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4689863Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4690204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4690308Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4690583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4690666Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4690938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:05:19.4691097Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:05:19.4691368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:05:19.4691517Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4691523Z 
2025-08-14T22:05:19.4691645Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4691856Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4691927Z     return mod(**inputs)
2025-08-14T22:05:19.4692203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4692273Z     outputs = self.bert(
2025-08-14T22:05:19.4692542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4692621Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4692882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4692964Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4693197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4693299Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4693566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4693655Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4693941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4694023Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4694314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4694476Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4694740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:05:19.4694837Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4694841Z 
2025-08-14T22:05:19.4694952Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4695162Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4695239Z     return mod(**inputs)
2025-08-14T22:05:19.4695506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4695576Z     outputs = self.bert(
2025-08-14T22:05:19.4695848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4695928Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4696196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4696274Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4696507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4696603Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4696863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4696960Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4697236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4697317Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4697618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4697746Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4698073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:05:19.4698207Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:05:19.4698434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:05:19.4698517Z     return self.act(input)
2025-08-14T22:05:19.4698521Z 
2025-08-14T22:05:19.4698630Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4698836Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4698916Z     return mod(**inputs)
2025-08-14T22:05:19.4699177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4699244Z     outputs = self.bert(
2025-08-14T22:05:19.4699499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4699575Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4699850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4699923Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4700146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4700232Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4700481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4700572Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4700842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4700941Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4701246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:05:19.4701386Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:05:19.4701648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:05:19.4701743Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4701747Z 
2025-08-14T22:05:19.4701855Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4702101Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4702168Z     return mod(**inputs)
2025-08-14T22:05:19.4702419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4702493Z     outputs = self.bert(
2025-08-14T22:05:19.4702750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4702832Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4703078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4703150Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4703379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4703459Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4703711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4703800Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4704047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4704128Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4704426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4704505Z     self_outputs = self.self(
2025-08-14T22:05:19.4704772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4704847Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4705109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:05:19.4705338Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:05:19.4705342Z 
2025-08-14T22:05:19.4705452Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4705669Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4705738Z     return mod(**inputs)
2025-08-14T22:05:19.4706007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4706112Z     outputs = self.bert(
2025-08-14T22:05:19.4706377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4706463Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4706722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4706796Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4707037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4707119Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4707399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4707493Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4707750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4707832Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4708094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4708167Z     self_outputs = self.self(
2025-08-14T22:05:19.4708430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4708505Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4708766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:05:19.4708849Z     self.key(current_states)
2025-08-14T22:05:19.4708852Z 
2025-08-14T22:05:19.4708961Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4709182Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4709251Z     return mod(**inputs)
2025-08-14T22:05:19.4709517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4709594Z     outputs = self.bert(
2025-08-14T22:05:19.4709857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4709943Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4710204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4710279Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4710523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4710606Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4710920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4711018Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4711275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4711356Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4711614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4711687Z     self_outputs = self.self(
2025-08-14T22:05:19.4711950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4712026Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4712287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:05:19.4712375Z     self.value(current_states)
2025-08-14T22:05:19.4712381Z 
2025-08-14T22:05:19.4712492Z cudagraph partition due to non gpu ops
2025-08-14T22:05:19.4712608Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4712819Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4712889Z     return mod(**inputs)
2025-08-14T22:05:19.4713162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4713232Z     outputs = self.bert(
2025-08-14T22:05:19.4713502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4713577Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4713841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4713921Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4714147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4714225Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4714480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4714562Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4714815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4714884Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4715131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:05:19.4715209Z     self_outputs = self.self(
2025-08-14T22:05:19.4715453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4715525Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4715782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:05:19.4715917Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:05:19.4715920Z 
2025-08-14T22:05:19.4716033Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4716231Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4716297Z     return mod(**inputs)
2025-08-14T22:05:19.4716556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4716621Z     outputs = self.bert(
2025-08-14T22:05:19.4716882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4716961Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4717252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4717337Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4717574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4717658Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4717934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:05:19.4718019Z     self_attention_outputs = self.attention(
2025-08-14T22:05:19.4718285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:05:19.4718361Z     return func(*args, **kwargs)
2025-08-14T22:05:19.4718633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:05:19.4718791Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:05:19.4719058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:05:19.4719141Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4719153Z 
2025-08-14T22:05:19.4719256Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4719451Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4719525Z     return mod(**inputs)
2025-08-14T22:05:19.4719777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4719862Z     outputs = self.bert(
2025-08-14T22:05:19.4720122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4720196Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4720454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4720526Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4720749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4720835Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4721082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4721165Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4721433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4721511Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4721801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4721922Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4722172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:05:19.4722261Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4722265Z 
2025-08-14T22:05:19.4722367Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4722571Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4722638Z     return mod(**inputs)
2025-08-14T22:05:19.4722887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4722959Z     outputs = self.bert(
2025-08-14T22:05:19.4723207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4723312Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4723573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4723644Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4723871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4723948Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4724191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4724281Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4724542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4724619Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4724905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:05:19.4725049Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:05:19.4725314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:05:19.4725433Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:05:19.4725660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:05:19.4725746Z     return self.act(input)
2025-08-14T22:05:19.4725749Z 
2025-08-14T22:05:19.4725861Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4726078Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4726166Z     return mod(**inputs)
2025-08-14T22:05:19.4726438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:05:19.4726515Z     outputs = self.bert(
2025-08-14T22:05:19.4726785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:05:19.4726862Z     encoder_outputs = self.encoder(
2025-08-14T22:05:19.4727132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:05:19.4727207Z     layer_outputs = layer_module(
2025-08-14T22:05:19.4727448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:05:19.4727530Z     return super().__call__(*args, **kwargs)
2025-08-14T22:05:19.4727793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:05:19.4727889Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:05:19.4728168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:05:19.4728250Z     return forward_fn(*input_tensors)
2025-08-14T22:05:19.4728551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:05:19.4728692Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:05:19.4728962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:05:19.4729047Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4729051Z 
2025-08-14T22:05:19.4729163Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4729384Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4729453Z     return mod(**inputs)
2025-08-14T22:05:19.4729767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1323, in forward
2025-08-14T22:05:19.4729873Z     prediction_scores = self.cls(sequence_output)
2025-08-14T22:05:19.4730133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 780, in forward
2025-08-14T22:05:19.4730351Z     prediction_scores = self.predictions(sequence_output)
2025-08-14T22:05:19.4730614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 769, in forward
2025-08-14T22:05:19.4730720Z     hidden_states = self.transform(hidden_states)
2025-08-14T22:05:19.4730981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 745, in forward
2025-08-14T22:05:19.4731071Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:05:19.4731075Z 
2025-08-14T22:05:19.4731193Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:05:19.4731409Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:05:19.4731506Z     return mod(**inputs)
2025-08-14T22:05:19.4731838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1323, in forward
2025-08-14T22:05:19.4731934Z     prediction_scores = self.cls(sequence_output)
2025-08-14T22:05:19.4732204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 780, in forward
2025-08-14T22:05:19.4732321Z     prediction_scores = self.predictions(sequence_output)
2025-08-14T22:05:19.4732583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 770, in forward
2025-08-14T22:05:19.4732709Z     hidden_states = self.decoder(hidden_states)
2025-08-14T22:05:19.4732713Z 
2025-08-14T22:05:28.8457832Z Compilation time (from dynamo_timed): 23.387112083
2025-08-14T22:05:28.8642831Z pass
2025-08-14T22:05:28.8643348Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:05:28.8644243Z TIMING: _recursive_pre_grad_passes:0.00751 _recursive_joint_graph_passes:0.47398 _recursive_post_grad_passes:0.08543 async_compile.wait:0.85658 code_gen:7.89982 inductor_compile:10.92282 backend_compile:18.60762 gc:0.00128 entire_frame_compile:23.38711 total_wall_time:23.38711
2025-08-14T22:05:28.8645525Z STATS: call_* op count: 286 | FakeTensorMode.__torch_dispatch__:12431 | attempt fast:54 | fast is_contiguous:50 | slow no contiguity match:4 | FakeTensor.__torch_dispatch__:4584 | ProxyTorchDispatchMode.__torch_dispatch__:4433
2025-08-14T22:05:28.8646214Z Dynamo produced 1 graphs covering 286 ops with 0 graph breaks (0 unique)
2025-08-14T22:05:33.8870109Z 
2025-08-14T22:05:39.0069215Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:05:39.0073598Z loading model: 0it [00:05, ?it/s]
2025-08-14T22:05:39.0097722Z cpu  eval  hf_Bert_large                      
2025-08-14T22:05:42.6976998Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:05:44.3718596Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:05:46.0303847Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:06:15.5276672Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5279770Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5281431Z     return mod(**inputs)
2025-08-14T22:06:15.5282387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5285853Z     outputs = self.bert(
2025-08-14T22:06:15.5286314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 964, in forward
2025-08-14T22:06:15.5286859Z     embedding_output = self.embeddings(
2025-08-14T22:06:15.5287627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 187, in forward
2025-08-14T22:06:15.5288093Z     embeddings += position_embeddings
2025-08-14T22:06:15.5288248Z 
2025-08-14T22:06:15.5288353Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5288598Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5288829Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5289055Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5289271Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5289517Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5289777Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5289996Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5290370Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5290614Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5290831Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5291075Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5291391Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5291629Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5291861Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5292085Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5292306Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5292524Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5292747Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5292972Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5293188Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5293412Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5293635Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5293896Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5294158Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5294577Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5294953Z     return mod(**inputs)
2025-08-14T22:06:15.5295370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5295800Z     outputs = self.bert(
2025-08-14T22:06:15.5296198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5296612Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5297028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5297449Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5297829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5298227Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5298657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5299094Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5299524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5299937Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5300346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5300762Z     self_outputs = self.self(
2025-08-14T22:06:15.5301190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5301624Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5302041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.5302682Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.5302970Z 
2025-08-14T22:06:15.5303085Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5303495Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5303851Z     return mod(**inputs)
2025-08-14T22:06:15.5304236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5304651Z     outputs = self.bert(
2025-08-14T22:06:15.5305047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5305477Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5305892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5306311Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5306699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5307127Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5307540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5307958Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5308379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5308798Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5309203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5309644Z     self_outputs = self.self(
2025-08-14T22:06:15.5310050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5310560Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5310966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.5311383Z     self.key(current_states)
2025-08-14T22:06:15.5311514Z 
2025-08-14T22:06:15.5311631Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5312032Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5312400Z     return mod(**inputs)
2025-08-14T22:06:15.5312793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5313203Z     outputs = self.bert(
2025-08-14T22:06:15.5313600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5314031Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5314446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5314869Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5315250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5315646Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5316059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5316487Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5316910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5317323Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5317724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5318140Z     self_outputs = self.self(
2025-08-14T22:06:15.5318581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5318987Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5319392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.5319816Z     self.value(current_states)
2025-08-14T22:06:15.5319947Z 
2025-08-14T22:06:15.5320171Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5320445Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5320849Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5321206Z     return mod(**inputs)
2025-08-14T22:06:15.5321599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5322027Z     outputs = self.bert(
2025-08-14T22:06:15.5322432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5322885Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5323292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5323712Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5324097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5324485Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5324908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5325362Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5325784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5326188Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5326590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5327009Z     self_outputs = self.self(
2025-08-14T22:06:15.5327411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5327817Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5328218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.5328718Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.5328924Z 
2025-08-14T22:06:15.5329041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5329443Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5329803Z     return mod(**inputs)
2025-08-14T22:06:15.5330270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5330692Z     outputs = self.bert(
2025-08-14T22:06:15.5331102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5331535Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5331955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5332387Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5332774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5333180Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5333601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5334097Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5334534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5334954Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5335351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.5335877Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.5336371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.5336811Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5336966Z 
2025-08-14T22:06:15.5337083Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5337495Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5337862Z     return mod(**inputs)
2025-08-14T22:06:15.5338251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5338707Z     outputs = self.bert(
2025-08-14T22:06:15.5339114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5339586Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5339999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5340440Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5340836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5341262Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5341689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5342131Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5342583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5343022Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5343479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5343991Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5344465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.5344890Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5345054Z 
2025-08-14T22:06:15.5345168Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5345570Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5345944Z     return mod(**inputs)
2025-08-14T22:06:15.5346350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5346776Z     outputs = self.bert(
2025-08-14T22:06:15.5347180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5347617Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5348034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5348463Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5348843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5349248Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5349713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5350151Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5350598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5351037Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5351493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5352013Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5352485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.5352950Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.5353380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.5353754Z     return self.act(input)
2025-08-14T22:06:15.5353889Z 
2025-08-14T22:06:15.5354004Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5354428Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5354787Z     return mod(**inputs)
2025-08-14T22:06:15.5355172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5355599Z     outputs = self.bert(
2025-08-14T22:06:15.5355998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5356441Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5356852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5357300Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5357685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5358079Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5358504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5358933Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5359375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5359801Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5360253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.5360774Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.5361254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.5361690Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5361850Z 
2025-08-14T22:06:15.5361965Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5362578Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5362936Z     return mod(**inputs)
2025-08-14T22:06:15.5363334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5363754Z     outputs = self.bert(
2025-08-14T22:06:15.5364146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5364570Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5365001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5365448Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5365927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5366336Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5366761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5367197Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5367622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5368045Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5368462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5368884Z     self_outputs = self.self(
2025-08-14T22:06:15.5369292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5369715Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5370132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.5370811Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.5371129Z 
2025-08-14T22:06:15.5371245Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5371648Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5372005Z     return mod(**inputs)
2025-08-14T22:06:15.5372399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5372864Z     outputs = self.bert(
2025-08-14T22:06:15.5373270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5373716Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5374143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5374584Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5374974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5375370Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5375799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5376227Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5376636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5377044Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5377444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5377856Z     self_outputs = self.self(
2025-08-14T22:06:15.5378241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5378642Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5379038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.5379447Z     self.key(current_states)
2025-08-14T22:06:15.5379576Z 
2025-08-14T22:06:15.5379688Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5380080Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5380450Z     return mod(**inputs)
2025-08-14T22:06:15.5380847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5381259Z     outputs = self.bert(
2025-08-14T22:06:15.5381681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5382118Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5382538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5382945Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5383316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5383701Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5384126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5384567Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5384983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5385392Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5385803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5387120Z     self_outputs = self.self(
2025-08-14T22:06:15.5387500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5387901Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5388298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.5388712Z     self.value(current_states)
2025-08-14T22:06:15.5388840Z 
2025-08-14T22:06:15.5388929Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5389216Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5389602Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5389952Z     return mod(**inputs)
2025-08-14T22:06:15.5390342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5390765Z     outputs = self.bert(
2025-08-14T22:06:15.5391162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5391573Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5391998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5392425Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5392818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5393211Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5393638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5394086Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5394505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5394925Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5395334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5395751Z     self_outputs = self.self(
2025-08-14T22:06:15.5396145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5396560Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5396969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.5397458Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.5397675Z 
2025-08-14T22:06:15.5397841Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5398243Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5398599Z     return mod(**inputs)
2025-08-14T22:06:15.5398989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5399408Z     outputs = self.bert(
2025-08-14T22:06:15.5399805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5400230Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5400641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5401065Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5401451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5401846Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5402300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5402729Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5403153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5403563Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5403972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.5404457Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.5404930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.5405386Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5405546Z 
2025-08-14T22:06:15.5405666Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5406069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5406417Z     return mod(**inputs)
2025-08-14T22:06:15.5406816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5407261Z     outputs = self.bert(
2025-08-14T22:06:15.5407648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5408073Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5408487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5408908Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5409285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5409689Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5410113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5410667Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5411114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5411688Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5412152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5412652Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5413131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.5413575Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5413771Z 
2025-08-14T22:06:15.5413895Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5414279Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5414629Z     return mod(**inputs)
2025-08-14T22:06:15.5415021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5415436Z     outputs = self.bert(
2025-08-14T22:06:15.5415826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5416261Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5416675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5417108Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5417499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5417929Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5418359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5418786Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5419233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5419677Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5420127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5420616Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5421091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.5421543Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.5421947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.5422315Z     return self.act(input)
2025-08-14T22:06:15.5422439Z 
2025-08-14T22:06:15.5422559Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5422953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5423297Z     return mod(**inputs)
2025-08-14T22:06:15.5423687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5424092Z     outputs = self.bert(
2025-08-14T22:06:15.5424468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5424883Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5425291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5425700Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5426072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5426468Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5426898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5427338Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5427785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5428223Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5428669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.5429200Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.5429679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.5430105Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5430253Z 
2025-08-14T22:06:15.5430372Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5430749Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5431105Z     return mod(**inputs)
2025-08-14T22:06:15.5431505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5431914Z     outputs = self.bert(
2025-08-14T22:06:15.5432309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5432747Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5433171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5433607Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5433988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5434393Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5434811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5435246Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5435665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5436098Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5436499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5436925Z     self_outputs = self.self(
2025-08-14T22:06:15.5437322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5437725Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5438121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.5438751Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.5439039Z 
2025-08-14T22:06:15.5439161Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5439564Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5439919Z     return mod(**inputs)
2025-08-14T22:06:15.5440321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5440746Z     outputs = self.bert(
2025-08-14T22:06:15.5441145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5442223Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5442653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5443068Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5443444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5443842Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5444262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5444693Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5445161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5445584Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5446003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5446419Z     self_outputs = self.self(
2025-08-14T22:06:15.5446824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5447244Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5447649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.5448081Z     self.key(current_states)
2025-08-14T22:06:15.5448215Z 
2025-08-14T22:06:15.5448331Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5448741Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5449085Z     return mod(**inputs)
2025-08-14T22:06:15.5449486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5449926Z     outputs = self.bert(
2025-08-14T22:06:15.5450410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5450865Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5451284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5451705Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5452084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5452527Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5452951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5453395Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5453809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5454225Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5454630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5455057Z     self_outputs = self.self(
2025-08-14T22:06:15.5455454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5455862Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5456265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.5456690Z     self.value(current_states)
2025-08-14T22:06:15.5456822Z 
2025-08-14T22:06:15.5456912Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5457174Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5457555Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5457899Z     return mod(**inputs)
2025-08-14T22:06:15.5458284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5458689Z     outputs = self.bert(
2025-08-14T22:06:15.5459069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5459482Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5459890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5460292Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5460665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5461142Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5461562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5461977Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5462598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5463004Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5463392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5463803Z     self_outputs = self.self(
2025-08-14T22:06:15.5464187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5464590Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5464979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.5465530Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.5465727Z 
2025-08-14T22:06:15.5465845Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5466228Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5466570Z     return mod(**inputs)
2025-08-14T22:06:15.5466954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5467356Z     outputs = self.bert(
2025-08-14T22:06:15.5467730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5468183Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5468590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5469009Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5469377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5469765Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5470181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5470596Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5471006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5471405Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5471806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.5472270Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.5472744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.5473164Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5473311Z 
2025-08-14T22:06:15.5473430Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5473814Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5474157Z     return mod(**inputs)
2025-08-14T22:06:15.5474542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5474941Z     outputs = self.bert(
2025-08-14T22:06:15.5475324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5475736Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5476201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5476603Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5476973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5477355Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5477756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5478175Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5478605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5479029Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5479465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5479952Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5480409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.5480853Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5481001Z 
2025-08-14T22:06:15.5481112Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5481501Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5481852Z     return mod(**inputs)
2025-08-14T22:06:15.5482231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5482641Z     outputs = self.bert(
2025-08-14T22:06:15.5483028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5483482Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5483880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5484288Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5484659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5485035Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5485443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5485858Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5486288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5486701Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5487140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5487628Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5488085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.5488527Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.5488934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.5489303Z     return self.act(input)
2025-08-14T22:06:15.5489423Z 
2025-08-14T22:06:15.5489533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5489923Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5490374Z     return mod(**inputs)
2025-08-14T22:06:15.5490775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5491193Z     outputs = self.bert(
2025-08-14T22:06:15.5491642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5492066Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5492483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5492915Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5493310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5493720Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5494146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5494591Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5495038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5495478Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5495943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.5496491Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.5496982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.5497418Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5497582Z 
2025-08-14T22:06:15.5497696Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5498112Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5498507Z     return mod(**inputs)
2025-08-14T22:06:15.5498909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5499344Z     outputs = self.bert(
2025-08-14T22:06:15.5499754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5500187Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5500620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5501047Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5501435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5501837Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5502275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5502713Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5503157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5503570Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5503993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5504435Z     self_outputs = self.self(
2025-08-14T22:06:15.5504823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5505228Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5505630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.5506194Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.5506479Z 
2025-08-14T22:06:15.5506591Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5506990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5507387Z     return mod(**inputs)
2025-08-14T22:06:15.5507772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5508175Z     outputs = self.bert(
2025-08-14T22:06:15.5508556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5508970Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5509364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5509769Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5510141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5510526Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5510932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5511387Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5511795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5512186Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5512578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5512980Z     self_outputs = self.self(
2025-08-14T22:06:15.5513368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5513757Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5514174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.5514579Z     self.key(current_states)
2025-08-14T22:06:15.5514702Z 
2025-08-14T22:06:15.5514815Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5515207Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5515555Z     return mod(**inputs)
2025-08-14T22:06:15.5515940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5516338Z     outputs = self.bert(
2025-08-14T22:06:15.5516720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5517135Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5517531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5517943Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5518317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5518709Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5519114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5519538Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5519949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5520354Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5520743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5521148Z     self_outputs = self.self(
2025-08-14T22:06:15.5521530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5521921Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5522360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.5522766Z     self.value(current_states)
2025-08-14T22:06:15.5522892Z 
2025-08-14T22:06:15.5522989Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5523242Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5523627Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5523968Z     return mod(**inputs)
2025-08-14T22:06:15.5524345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5524746Z     outputs = self.bert(
2025-08-14T22:06:15.5525126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5525542Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5525939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5526350Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5526742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5527119Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5527526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5527939Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5528343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5528729Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5529160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5529562Z     self_outputs = self.self(
2025-08-14T22:06:15.5529941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5530439Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5530853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.5531347Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.5531555Z 
2025-08-14T22:06:15.5531671Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5532075Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5532431Z     return mod(**inputs)
2025-08-14T22:06:15.5532831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5533249Z     outputs = self.bert(
2025-08-14T22:06:15.5533654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5534087Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5534505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5534948Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5535335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5535749Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5536171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5536605Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5537035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5537450Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5537906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.5538387Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.5538863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.5539305Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5539466Z 
2025-08-14T22:06:15.5539580Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5539972Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5540326Z     return mod(**inputs)
2025-08-14T22:06:15.5540695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5541094Z     outputs = self.bert(
2025-08-14T22:06:15.5541470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5541894Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5542297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5542701Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5543071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5543449Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5543857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5544273Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5544719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5545149Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5545592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5546085Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5546532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.5546952Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5547098Z 
2025-08-14T22:06:15.5547215Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5547601Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5547939Z     return mod(**inputs)
2025-08-14T22:06:15.5548327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5548737Z     outputs = self.bert(
2025-08-14T22:06:15.5549108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5549525Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5549925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5550326Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5550690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5551077Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5551488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5551903Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5552334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5552800Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5553247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5553733Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5554187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.5554637Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.5555045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.5555412Z     return self.act(input)
2025-08-14T22:06:15.5555543Z 
2025-08-14T22:06:15.5555659Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5556055Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5556402Z     return mod(**inputs)
2025-08-14T22:06:15.5556797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5557222Z     outputs = self.bert(
2025-08-14T22:06:15.5557602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5558004Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5558409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5558812Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5559173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5559597Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5560007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5560429Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5560848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5561266Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5561703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.5562434Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.5562910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.5563336Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5563490Z 
2025-08-14T22:06:15.5563610Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5563993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5564347Z     return mod(**inputs)
2025-08-14T22:06:15.5564745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5565166Z     outputs = self.bert(
2025-08-14T22:06:15.5565548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5565972Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5566382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5566791Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5567167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5567556Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5568088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5568506Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5568922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5569329Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5569855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5570413Z     self_outputs = self.self(
2025-08-14T22:06:15.5571154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5571615Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5572106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.5572782Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.5573144Z 
2025-08-14T22:06:15.5573318Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5573798Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5574270Z     return mod(**inputs)
2025-08-14T22:06:15.5574759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5575267Z     outputs = self.bert(
2025-08-14T22:06:15.5575710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5576228Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5576734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5577271Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5577704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5578185Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5596145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5596681Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5597120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5597535Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5597953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5598363Z     self_outputs = self.self(
2025-08-14T22:06:15.5598782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5599183Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5599594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.5599998Z     self.key(current_states)
2025-08-14T22:06:15.5600133Z 
2025-08-14T22:06:15.5600253Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5600653Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5600999Z     return mod(**inputs)
2025-08-14T22:06:15.5601399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5601812Z     outputs = self.bert(
2025-08-14T22:06:15.5602201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5602614Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5603176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5603599Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5603973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5604368Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5604788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5605212Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5605621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5606023Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5606419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5606826Z     self_outputs = self.self(
2025-08-14T22:06:15.5607207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5607633Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5608025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.5608421Z     self.value(current_states)
2025-08-14T22:06:15.5608557Z 
2025-08-14T22:06:15.5608651Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5608916Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5609298Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5609642Z     return mod(**inputs)
2025-08-14T22:06:15.5610029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5610569Z     outputs = self.bert(
2025-08-14T22:06:15.5610960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5611390Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5611811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5612222Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5612602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5613001Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5613426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5613850Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5614277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5614688Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5615098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5615511Z     self_outputs = self.self(
2025-08-14T22:06:15.5615909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5616320Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5616716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.5617202Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.5617413Z 
2025-08-14T22:06:15.5617531Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5617931Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5618283Z     return mod(**inputs)
2025-08-14T22:06:15.5618722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5619142Z     outputs = self.bert(
2025-08-14T22:06:15.5619526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5619965Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5620383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5620808Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5621186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5621587Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5622012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5622442Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5622857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5623285Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5623690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.5624163Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.5624638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.5625066Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5625228Z 
2025-08-14T22:06:15.5625348Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5625755Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5626097Z     return mod(**inputs)
2025-08-14T22:06:15.5626481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5626874Z     outputs = self.bert(
2025-08-14T22:06:15.5627254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5627662Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5628058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5628453Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5628821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5629204Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5629610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5630019Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5630453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5630882Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5631313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5631799Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5632254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.5632668Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5632814Z 
2025-08-14T22:06:15.5632926Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5633312Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5633656Z     return mod(**inputs)
2025-08-14T22:06:15.5634065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5634480Z     outputs = self.bert(
2025-08-14T22:06:15.5634867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5635283Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5635681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5636093Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5636470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5636859Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5637262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5637684Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5638116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5638553Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5638995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5639482Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5639939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.5640385Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.5640812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.5641178Z     return self.act(input)
2025-08-14T22:06:15.5641298Z 
2025-08-14T22:06:15.5641421Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5641798Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5642143Z     return mod(**inputs)
2025-08-14T22:06:15.5642525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5642920Z     outputs = self.bert(
2025-08-14T22:06:15.5643290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5643680Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5644062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5644455Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5644823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5645208Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5645609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5646024Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5646449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5646863Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5647286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.5647779Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.5648240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.5648656Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5648803Z 
2025-08-14T22:06:15.5648951Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5649339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5649682Z     return mod(**inputs)
2025-08-14T22:06:15.5650081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5650593Z     outputs = self.bert(
2025-08-14T22:06:15.5651006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5651454Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5651852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5652268Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5652649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5653034Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5653474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5653893Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5654303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5654699Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5655092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5655498Z     self_outputs = self.self(
2025-08-14T22:06:15.5655889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5656285Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5656682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.5657245Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.5657513Z 
2025-08-14T22:06:15.5657618Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5658006Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5658349Z     return mod(**inputs)
2025-08-14T22:06:15.5658730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5659122Z     outputs = self.bert(
2025-08-14T22:06:15.5659494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5659905Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5660298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5660703Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5661068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5661449Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5661850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5662413Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5662825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5663221Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5663611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5664016Z     self_outputs = self.self(
2025-08-14T22:06:15.5664460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5664855Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5665246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.5665648Z     self.key(current_states)
2025-08-14T22:06:15.5665770Z 
2025-08-14T22:06:15.5665886Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5666266Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5666606Z     return mod(**inputs)
2025-08-14T22:06:15.5666987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5667387Z     outputs = self.bert(
2025-08-14T22:06:15.5667771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5668201Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5668597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5669001Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5669361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5669743Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5670150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5670554Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5670978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5671374Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5671770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5672170Z     self_outputs = self.self(
2025-08-14T22:06:15.5672549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5672944Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5673337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.5673736Z     self.value(current_states)
2025-08-14T22:06:15.5673871Z 
2025-08-14T22:06:15.5673958Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5674218Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5674599Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5674945Z     return mod(**inputs)
2025-08-14T22:06:15.5675331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5675734Z     outputs = self.bert(
2025-08-14T22:06:15.5676101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5676509Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5676907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5677304Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5677668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5678047Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5678454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5678858Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5679297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5679699Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5680082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5680485Z     self_outputs = self.self(
2025-08-14T22:06:15.5680865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5681260Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5681645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.5682113Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.5682311Z 
2025-08-14T22:06:15.5682430Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5682817Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5683206Z     return mod(**inputs)
2025-08-14T22:06:15.5683572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5683970Z     outputs = self.bert(
2025-08-14T22:06:15.5684342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5684754Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5685157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5685563Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5685957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5686357Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5686786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5687213Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5687638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5688053Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5688462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.5688936Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.5689406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.5689837Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5689989Z 
2025-08-14T22:06:15.5690115Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5690596Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5690966Z     return mod(**inputs)
2025-08-14T22:06:15.5691370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5691783Z     outputs = self.bert(
2025-08-14T22:06:15.5692170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5692585Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5692994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5693394Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5693770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5694159Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5694616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5695045Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5695481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5695904Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5696337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5696819Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5697277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.5697694Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5697839Z 
2025-08-14T22:06:15.5697954Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5698337Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5698702Z     return mod(**inputs)
2025-08-14T22:06:15.5699077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5699477Z     outputs = self.bert(
2025-08-14T22:06:15.5699856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5700314Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5700709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5701134Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5701503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5701883Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5702292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5702712Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5703154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5703584Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5704037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5704541Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5705008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.5705473Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.5705898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.5706274Z     return self.act(input)
2025-08-14T22:06:15.5706399Z 
2025-08-14T22:06:15.5706515Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5706907Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5707260Z     return mod(**inputs)
2025-08-14T22:06:15.5707651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5708053Z     outputs = self.bert(
2025-08-14T22:06:15.5708440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5708863Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5709312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5709733Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5710114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5710510Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5710925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5711358Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5711791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5712206Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5712648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.5713143Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.5713615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.5714066Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5714226Z 
2025-08-14T22:06:15.5714350Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5714734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5715080Z     return mod(**inputs)
2025-08-14T22:06:15.5715457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5715863Z     outputs = self.bert(
2025-08-14T22:06:15.5716251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5716704Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5717119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5717534Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5717913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5718303Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5718712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5719128Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5719539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5719626Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5719897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5719981Z     self_outputs = self.self(
2025-08-14T22:06:15.5720247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5720326Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5720604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.5720834Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.5720838Z 
2025-08-14T22:06:15.5720960Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5721176Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5721248Z     return mod(**inputs)
2025-08-14T22:06:15.5721529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5721601Z     outputs = self.bert(
2025-08-14T22:06:15.5721912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5722006Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5722277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5722363Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5722604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5722690Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5722965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5723056Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5723327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5723408Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5723677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5723783Z     self_outputs = self.self(
2025-08-14T22:06:15.5724048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5724125Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5724404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.5724482Z     self.key(current_states)
2025-08-14T22:06:15.5724486Z 
2025-08-14T22:06:15.5724607Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5724846Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5724917Z     return mod(**inputs)
2025-08-14T22:06:15.5725208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5725282Z     outputs = self.bert(
2025-08-14T22:06:15.5725561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5725652Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5725923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5726009Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5726255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5726339Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5726621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5726709Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5726986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5727063Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5727341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5727426Z     self_outputs = self.self(
2025-08-14T22:06:15.5727704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5727779Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5728066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.5728147Z     self.value(current_states)
2025-08-14T22:06:15.5728151Z 
2025-08-14T22:06:15.5728249Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5728363Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5728629Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5728710Z     return mod(**inputs)
2025-08-14T22:06:15.5729004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5729084Z     outputs = self.bert(
2025-08-14T22:06:15.5729370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5729451Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5729730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5729809Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5730057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5730148Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5730504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5730633Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5730906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5730982Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5731258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5731336Z     self_outputs = self.self(
2025-08-14T22:06:15.5731606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5731712Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5731991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.5732151Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.5732157Z 
2025-08-14T22:06:15.5732271Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5732504Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5732584Z     return mod(**inputs)
2025-08-14T22:06:15.5732871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5732953Z     outputs = self.bert(
2025-08-14T22:06:15.5733239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5733321Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5733603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5733683Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5733927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5734021Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5734300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5734394Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5734665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5734740Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5735019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.5735163Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.5735481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.5735582Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5735585Z 
2025-08-14T22:06:15.5735700Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5735932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5736002Z     return mod(**inputs)
2025-08-14T22:06:15.5736287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5736366Z     outputs = self.bert(
2025-08-14T22:06:15.5736652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5736740Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5737018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5737097Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5737347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5737450Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5737725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5737825Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5738122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5738213Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5738518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5738685Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5738961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.5739052Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5739056Z 
2025-08-14T22:06:15.5739183Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5739391Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5739460Z     return mod(**inputs)
2025-08-14T22:06:15.5739730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5739799Z     outputs = self.bert(
2025-08-14T22:06:15.5740062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5740150Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5740407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5740494Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5740727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5740809Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5741073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5741161Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5741440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5741532Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5741826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5741963Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5742257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.5742379Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.5742613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.5742687Z     return self.act(input)
2025-08-14T22:06:15.5742691Z 
2025-08-14T22:06:15.5742808Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5743018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5743088Z     return mod(**inputs)
2025-08-14T22:06:15.5743362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5743433Z     outputs = self.bert(
2025-08-14T22:06:15.5743698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5743784Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5744069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5744152Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5744386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5744469Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5744738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5744824Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5745118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5745208Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5745504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.5745654Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.5745912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.5745998Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5746002Z 
2025-08-14T22:06:15.5746120Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5746329Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5746406Z     return mod(**inputs)
2025-08-14T22:06:15.5746672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5746742Z     outputs = self.bert(
2025-08-14T22:06:15.5747015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5747094Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5747353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5747435Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5747671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5747763Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5748022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5748109Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5748375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5748449Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5748759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5748836Z     self_outputs = self.self(
2025-08-14T22:06:15.5749094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5749176Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5749438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.5749660Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.5749671Z 
2025-08-14T22:06:15.5749784Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5749993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5750067Z     return mod(**inputs)
2025-08-14T22:06:15.5750336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5750427Z     outputs = self.bert(
2025-08-14T22:06:15.5750700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5750777Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5751047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5751124Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5751356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5751468Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5751732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5751823Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5752088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5752161Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5752428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5752503Z     self_outputs = self.self(
2025-08-14T22:06:15.5752757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5752838Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5753099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.5753176Z     self.key(current_states)
2025-08-14T22:06:15.5753180Z 
2025-08-14T22:06:15.5753297Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5753510Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5753588Z     return mod(**inputs)
2025-08-14T22:06:15.5753856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5753927Z     outputs = self.bert(
2025-08-14T22:06:15.5754197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5754274Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5754536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5754619Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5754855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5754944Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5755240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5755329Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5755598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5755673Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5755949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5756026Z     self_outputs = self.self(
2025-08-14T22:06:15.5756294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5756378Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5756637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.5756718Z     self.value(current_states)
2025-08-14T22:06:15.5756741Z 
2025-08-14T22:06:15.5756840Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5756953Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5757178Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5757252Z     return mod(**inputs)
2025-08-14T22:06:15.5757527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5757610Z     outputs = self.bert(
2025-08-14T22:06:15.5757881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5757982Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5758264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5758346Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5758600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5758687Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5758960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5759056Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5759321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5759406Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5759678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5759756Z     self_outputs = self.self(
2025-08-14T22:06:15.5760032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5760108Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5760383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.5760538Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.5760542Z 
2025-08-14T22:06:15.5760656Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5760878Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5760949Z     return mod(**inputs)
2025-08-14T22:06:15.5761226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5761309Z     outputs = self.bert(
2025-08-14T22:06:15.5761587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5761738Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5762155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5762248Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5762502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5762589Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5762860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5762960Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5763222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5763308Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5763583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.5763725Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.5764125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.5764216Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5764220Z 
2025-08-14T22:06:15.5764334Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5764559Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5764630Z     return mod(**inputs)
2025-08-14T22:06:15.5764910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5765017Z     outputs = self.bert(
2025-08-14T22:06:15.5765292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5765386Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5765660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5765739Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5765994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5766078Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5766358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5766451Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5766742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5766837Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5767149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5767289Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5767561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.5767651Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5767655Z 
2025-08-14T22:06:15.5767775Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5767989Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5768058Z     return mod(**inputs)
2025-08-14T22:06:15.5768341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5768412Z     outputs = self.bert(
2025-08-14T22:06:15.5768761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5768844Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5769120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5769203Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5769444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5769535Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5769801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5769891Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5770240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5770334Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5770645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5770806Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5771074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.5771203Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.5771435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.5771511Z     return self.act(input)
2025-08-14T22:06:15.5771515Z 
2025-08-14T22:06:15.5771636Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5771872Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5771951Z     return mod(**inputs)
2025-08-14T22:06:15.5772228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5772302Z     outputs = self.bert(
2025-08-14T22:06:15.5772581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5772663Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5772934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5773019Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5773254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5773347Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5773608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5773696Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5773984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5774066Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5774362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.5774510Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.5774770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.5774867Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5774870Z 
2025-08-14T22:06:15.5774983Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5775194Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5775273Z     return mod(**inputs)
2025-08-14T22:06:15.5775576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5775659Z     outputs = self.bert(
2025-08-14T22:06:15.5775920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5775997Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5776263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5776341Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5776575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5776667Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5776928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5777023Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5777281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5777375Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5777647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5777721Z     self_outputs = self.self(
2025-08-14T22:06:15.5777979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5778062Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5778325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.5778575Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.5778579Z 
2025-08-14T22:06:15.5778690Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5778901Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5778977Z     return mod(**inputs)
2025-08-14T22:06:15.5779240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5779317Z     outputs = self.bert(
2025-08-14T22:06:15.5779580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5779658Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5779925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5780003Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5780238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5780330Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5780590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5780683Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5780937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5781010Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5781278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5781351Z     self_outputs = self.self(
2025-08-14T22:06:15.5781614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5781690Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5781987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.5782075Z     self.key(current_states)
2025-08-14T22:06:15.5782079Z 
2025-08-14T22:06:15.5782189Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5782403Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5782481Z     return mod(**inputs)
2025-08-14T22:06:15.5782757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5782835Z     outputs = self.bert(
2025-08-14T22:06:15.5783100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5783181Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5783453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5783532Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5783773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5783884Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5784149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5784242Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5784500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5784572Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5784845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5784940Z     self_outputs = self.self(
2025-08-14T22:06:15.5785196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5785279Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5785539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.5785623Z     self.value(current_states)
2025-08-14T22:06:15.5785627Z 
2025-08-14T22:06:15.5785713Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5785821Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5786038Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5786108Z     return mod(**inputs)
2025-08-14T22:06:15.5786377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5786448Z     outputs = self.bert(
2025-08-14T22:06:15.5786709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5786795Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5787065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5787136Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5787362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5787440Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5787692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5787774Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5788013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5788093Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5788368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5788442Z     self_outputs = self.self(
2025-08-14T22:06:15.5788695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5788765Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5789020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.5789154Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.5789158Z 
2025-08-14T22:06:15.5789260Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5789468Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5789535Z     return mod(**inputs)
2025-08-14T22:06:15.5789803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5789872Z     outputs = self.bert(
2025-08-14T22:06:15.5790142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5790224Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5790471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5790543Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5790780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5790861Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5791131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5791237Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5791494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5791578Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5791842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.5791979Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.5792248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.5792335Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5792339Z 
2025-08-14T22:06:15.5792454Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5792664Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5792735Z     return mod(**inputs)
2025-08-14T22:06:15.5793011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5793082Z     outputs = self.bert(
2025-08-14T22:06:15.5793353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5793440Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5793700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5793783Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5794019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5794101Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5794370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5794459Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5794790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5794875Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5795174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5795310Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5795573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.5795667Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5795671Z 
2025-08-14T22:06:15.5795779Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5795994Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5796074Z     return mod(**inputs)
2025-08-14T22:06:15.5796359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5796461Z     outputs = self.bert(
2025-08-14T22:06:15.5796782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5796859Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5797127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5797203Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5797440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5797531Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5797812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5797901Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5798187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5798269Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5798573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5798698Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5798960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.5799086Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.5799313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.5799395Z     return self.act(input)
2025-08-14T22:06:15.5799399Z 
2025-08-14T22:06:15.5799508Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5799721Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5799799Z     return mod(**inputs)
2025-08-14T22:06:15.5800065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5800134Z     outputs = self.bert(
2025-08-14T22:06:15.5800406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5800482Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5800749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5800827Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5801064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5801155Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5801454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5801552Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5801826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5801906Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5802211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.5802350Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.5802611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.5802705Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5802709Z 
2025-08-14T22:06:15.5802819Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5803034Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5803123Z     return mod(**inputs)
2025-08-14T22:06:15.5803386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5803464Z     outputs = self.bert(
2025-08-14T22:06:15.5803727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5803806Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5804075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5804169Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5804413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5804499Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5804764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5804863Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5805118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5805200Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5805463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5805539Z     self_outputs = self.self(
2025-08-14T22:06:15.5805804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5805880Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5806140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.5806368Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.5806374Z 
2025-08-14T22:06:15.5806483Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5806702Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5806771Z     return mod(**inputs)
2025-08-14T22:06:15.5807036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5807115Z     outputs = self.bert(
2025-08-14T22:06:15.5807381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5807468Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5807766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5807844Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5808092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5808176Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5808437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5808534Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5808788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5808870Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5809128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5809203Z     self_outputs = self.self(
2025-08-14T22:06:15.5809468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5809560Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5809821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.5809904Z     self.key(current_states)
2025-08-14T22:06:15.5809908Z 
2025-08-14T22:06:15.5810016Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5810315Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5810397Z     return mod(**inputs)
2025-08-14T22:06:15.5810667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5810778Z     outputs = self.bert(
2025-08-14T22:06:15.5811063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5811155Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5811447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5811528Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5811821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5811906Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5812171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5812267Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5812524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5812607Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5812874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5812950Z     self_outputs = self.self(
2025-08-14T22:06:15.5813215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5813288Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5813550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.5813635Z     self.value(current_states)
2025-08-14T22:06:15.5813638Z 
2025-08-14T22:06:15.5813725Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5813843Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5814055Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5814127Z     return mod(**inputs)
2025-08-14T22:06:15.5814436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5814507Z     outputs = self.bert(
2025-08-14T22:06:15.5814777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5814864Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5815124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5815205Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5815442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5815523Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5815791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5815877Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5816144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5816236Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5816498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5816578Z     self_outputs = self.self(
2025-08-14T22:06:15.5816833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5816904Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5817172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.5817313Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.5817344Z 
2025-08-14T22:06:15.5817462Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5817680Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5817748Z     return mod(**inputs)
2025-08-14T22:06:15.5818023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5818093Z     outputs = self.bert(
2025-08-14T22:06:15.5818363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5818450Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5818715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5818796Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5819034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5819119Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5819388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5819479Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5819746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5819823Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5820085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.5820233Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.5820494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.5820586Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5820590Z 
2025-08-14T22:06:15.5820710Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5820957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5821038Z     return mod(**inputs)
2025-08-14T22:06:15.5821304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5821375Z     outputs = self.bert(
2025-08-14T22:06:15.5821647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5821726Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5821987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5822070Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5822310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5822399Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5822666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5822774Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5823063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5823145Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5823449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5823578Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5823841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.5823957Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5823960Z 
2025-08-14T22:06:15.5824070Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5824285Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5824364Z     return mod(**inputs)
2025-08-14T22:06:15.5824628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5824707Z     outputs = self.bert(
2025-08-14T22:06:15.5824973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5825052Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5825322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5825398Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5825645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5825735Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5825984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5826075Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5826334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5826410Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5826696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5826814Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5827081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.5827202Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.5827470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.5827559Z     return self.act(input)
2025-08-14T22:06:15.5827562Z 
2025-08-14T22:06:15.5827672Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5827888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5827958Z     return mod(**inputs)
2025-08-14T22:06:15.5828221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5828297Z     outputs = self.bert(
2025-08-14T22:06:15.5828561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5828641Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5828911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5828985Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5829230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5829334Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5829597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5829693Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5829971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5830052Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5830351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.5830512Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.5830786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.5830870Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5830873Z 
2025-08-14T22:06:15.5830978Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5831180Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5831246Z     return mod(**inputs)
2025-08-14T22:06:15.5831517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5831586Z     outputs = self.bert(
2025-08-14T22:06:15.5831912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5831996Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5832242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5832316Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5832544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5832622Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5832873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5832953Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5833196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5833274Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5833519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5833591Z     self_outputs = self.self(
2025-08-14T22:06:15.5833873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5833947Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5834202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.5834412Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.5834415Z 
2025-08-14T22:06:15.5834518Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5834724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5834789Z     return mod(**inputs)
2025-08-14T22:06:15.5835048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5835115Z     outputs = self.bert(
2025-08-14T22:06:15.5835420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5835521Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5835777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5835849Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5836082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5836161Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5836417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5836498Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5836758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5836834Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5837085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5837165Z     self_outputs = self.self(
2025-08-14T22:06:15.5837411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5837480Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5837737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.5837808Z     self.key(current_states)
2025-08-14T22:06:15.5837812Z 
2025-08-14T22:06:15.5837915Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5838122Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5838189Z     return mod(**inputs)
2025-08-14T22:06:15.5838453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5838521Z     outputs = self.bert(
2025-08-14T22:06:15.5838773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5838855Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5839102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5839173Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5839406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5839485Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5839744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5839827Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5840495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5840580Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5840832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5840905Z     self_outputs = self.self(
2025-08-14T22:06:15.5841155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5841225Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5841482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.5841556Z     self.value(current_states)
2025-08-14T22:06:15.5841561Z 
2025-08-14T22:06:15.5841643Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5841755Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5841957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5842058Z     return mod(**inputs)
2025-08-14T22:06:15.5842314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5842379Z     outputs = self.bert(
2025-08-14T22:06:15.5842636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5842709Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5842957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5843037Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5843284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5843371Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5843622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5843706Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5843958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5844027Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5844276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5844354Z     self_outputs = self.self(
2025-08-14T22:06:15.5844595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5844671Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5844922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.5845059Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.5845063Z 
2025-08-14T22:06:15.5845177Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5845375Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5845447Z     return mod(**inputs)
2025-08-14T22:06:15.5845700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5845765Z     outputs = self.bert(
2025-08-14T22:06:15.5846025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5846099Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5846353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5846438Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5846712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5846806Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5847069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5847155Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5847418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5847490Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5847754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.5847899Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.5848160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.5848259Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5848281Z 
2025-08-14T22:06:15.5848391Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5848597Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5848675Z     return mod(**inputs)
2025-08-14T22:06:15.5848936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5849013Z     outputs = self.bert(
2025-08-14T22:06:15.5849276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5849355Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5849640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5849717Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5849954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5850046Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5850529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5850633Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5850917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5851002Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5851317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5851458Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5851728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.5851820Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5851825Z 
2025-08-14T22:06:15.5851934Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5852150Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5852220Z     return mod(**inputs)
2025-08-14T22:06:15.5852486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5852566Z     outputs = self.bert(
2025-08-14T22:06:15.5852831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5852921Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5853181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5853258Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5853544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5853633Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5853894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5853991Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5854273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5854361Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5854660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5854788Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5855063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.5855202Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.5855434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.5855509Z     return self.act(input)
2025-08-14T22:06:15.5855512Z 
2025-08-14T22:06:15.5855620Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5855839Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5855908Z     return mod(**inputs)
2025-08-14T22:06:15.5856173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5856270Z     outputs = self.bert(
2025-08-14T22:06:15.5856535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5856625Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5856886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5856964Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5857217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5857301Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5857570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5857658Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5857937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5858025Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5858322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.5858463Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.5858733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.5858818Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5858821Z 
2025-08-14T22:06:15.5858938Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5859145Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5859214Z     return mod(**inputs)
2025-08-14T22:06:15.5859487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5859559Z     outputs = self.bert(
2025-08-14T22:06:15.5859856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5859944Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5860204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5860286Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5860523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5860606Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5860871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5860957Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5861221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5861296Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5861560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5861663Z     self_outputs = self.self(
2025-08-14T22:06:15.5861920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5862181Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5862468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.5862690Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.5862694Z 
2025-08-14T22:06:15.5862814Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5863136Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5863208Z     return mod(**inputs)
2025-08-14T22:06:15.5863486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5863557Z     outputs = self.bert(
2025-08-14T22:06:15.5863830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5863908Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5864170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5864256Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5864493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5864576Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5864850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5864937Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5865201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5865275Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5865537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5865619Z     self_outputs = self.self(
2025-08-14T22:06:15.5865876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5865949Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5866221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.5866301Z     self.key(current_states)
2025-08-14T22:06:15.5866304Z 
2025-08-14T22:06:15.5866422Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5866696Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5866768Z     return mod(**inputs)
2025-08-14T22:06:15.5867041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5867111Z     outputs = self.bert(
2025-08-14T22:06:15.5867384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5867462Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5867722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5867804Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5868040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5868123Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5868392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5868507Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5868769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5868842Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5869098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5869181Z     self_outputs = self.self(
2025-08-14T22:06:15.5869436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5869509Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5869801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.5869880Z     self.value(current_states)
2025-08-14T22:06:15.5869884Z 
2025-08-14T22:06:15.5869984Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5870095Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5870304Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5870381Z     return mod(**inputs)
2025-08-14T22:06:15.5870649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5870721Z     outputs = self.bert(
2025-08-14T22:06:15.5870993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5871071Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5871343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5871419Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5871656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5871749Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5872009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5872096Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5872343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5872411Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5872664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5872735Z     self_outputs = self.self(
2025-08-14T22:06:15.5872977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5873086Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5873334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.5873477Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.5873480Z 
2025-08-14T22:06:15.5873580Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5873773Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5873846Z     return mod(**inputs)
2025-08-14T22:06:15.5874098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5874165Z     outputs = self.bert(
2025-08-14T22:06:15.5874418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5874493Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5874748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5874838Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5875062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5875149Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5875398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5875485Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5875729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5875817Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5876077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.5876208Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.5876457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.5876550Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5876553Z 
2025-08-14T22:06:15.5876657Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5876863Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5876928Z     return mod(**inputs)
2025-08-14T22:06:15.5877179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5877253Z     outputs = self.bert(
2025-08-14T22:06:15.5877502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5877576Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5877834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5877909Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5878140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5878220Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5878467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5878559Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5878819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5878906Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5879185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5879346Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5879601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.5879681Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5879685Z 
2025-08-14T22:06:15.5879793Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5879988Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5880052Z     return mod(**inputs)
2025-08-14T22:06:15.5880310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5880379Z     outputs = self.bert(
2025-08-14T22:06:15.5880626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5880709Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5880955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5881054Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5881278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5881355Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5881612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5881695Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5881961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5882061Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5882354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5882489Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5882752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.5882869Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.5883100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.5883173Z     return self.act(input)
2025-08-14T22:06:15.5883177Z 
2025-08-14T22:06:15.5883295Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5883505Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5883576Z     return mod(**inputs)
2025-08-14T22:06:15.5883848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5883919Z     outputs = self.bert(
2025-08-14T22:06:15.5884185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5884271Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5884530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5884613Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5884847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5884930Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5885197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5885286Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5885594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5885686Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5885987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.5886134Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.5886404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.5886490Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5886494Z 
2025-08-14T22:06:15.5886612Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5886822Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5886902Z     return mod(**inputs)
2025-08-14T22:06:15.5887176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5887269Z     outputs = self.bert(
2025-08-14T22:06:15.5887537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5887615Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5887884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5887968Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5888201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5888289Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5888570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5888658Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5888922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5888999Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5889258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5889340Z     self_outputs = self.self(
2025-08-14T22:06:15.5889596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5889678Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5889941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.5890164Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.5890168Z 
2025-08-14T22:06:15.5890357Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5890585Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5890666Z     return mod(**inputs)
2025-08-14T22:06:15.5890951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5891022Z     outputs = self.bert(
2025-08-14T22:06:15.5891310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5891392Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5891671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5891758Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5892008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5892099Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5892409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5892500Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5892774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5892855Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5893131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5893209Z     self_outputs = self.self(
2025-08-14T22:06:15.5893471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5893559Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5893859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.5893942Z     self.key(current_states)
2025-08-14T22:06:15.5893970Z 
2025-08-14T22:06:15.5894089Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5894300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5894375Z     return mod(**inputs)
2025-08-14T22:06:15.5894641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5894709Z     outputs = self.bert(
2025-08-14T22:06:15.5894981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5895060Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5895347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5895430Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5895670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5895759Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5896019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5896104Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5896366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5896439Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5896710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5896786Z     self_outputs = self.self(
2025-08-14T22:06:15.5897043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5897122Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5897387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.5897464Z     self.value(current_states)
2025-08-14T22:06:15.5897468Z 
2025-08-14T22:06:15.5897562Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5897670Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5897888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5897956Z     return mod(**inputs)
2025-08-14T22:06:15.5898223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5898297Z     outputs = self.bert(
2025-08-14T22:06:15.5898568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5898645Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5898954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5899031Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5899282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5899365Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5899633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5899727Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5899989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5900064Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5900335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5900411Z     self_outputs = self.self(
2025-08-14T22:06:15.5900699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5900773Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5901035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.5901185Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.5901188Z 
2025-08-14T22:06:15.5901295Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5901513Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5901607Z     return mod(**inputs)
2025-08-14T22:06:15.5901882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5901958Z     outputs = self.bert(
2025-08-14T22:06:15.5902235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5902315Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5902592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5902668Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5902918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5903001Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5903273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5903368Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5903632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5903708Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5903986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.5904123Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.5904399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.5904485Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5904489Z 
2025-08-14T22:06:15.5904597Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5904820Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5904890Z     return mod(**inputs)
2025-08-14T22:06:15.5905167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5905236Z     outputs = self.bert(
2025-08-14T22:06:15.5905547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5905638Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5905902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5905978Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5906224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5906305Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5906571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5906662Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5906940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5907030Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5907344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5907478Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5907739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.5907824Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5907828Z 
2025-08-14T22:06:15.5907943Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5908151Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5908239Z     return mod(**inputs)
2025-08-14T22:06:15.5908513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5908586Z     outputs = self.bert(
2025-08-14T22:06:15.5908859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5908938Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5909198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5909282Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5909515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5909597Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5909862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5909950Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5910235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5910318Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5910611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5910748Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5911008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.5911131Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.5911355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.5911430Z     return self.act(input)
2025-08-14T22:06:15.5911434Z 
2025-08-14T22:06:15.5911552Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5911799Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5911870Z     return mod(**inputs)
2025-08-14T22:06:15.5912145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5912213Z     outputs = self.bert(
2025-08-14T22:06:15.5912483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5912564Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5912833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5912917Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5913160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5913253Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5913525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5913638Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5913932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5914014Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5914319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.5914472Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.5914741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.5914869Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5914873Z 
2025-08-14T22:06:15.5914985Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5915218Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5915300Z     return mod(**inputs)
2025-08-14T22:06:15.5915584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5915662Z     outputs = self.bert(
2025-08-14T22:06:15.5915934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5916014Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5916292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5916370Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5916613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5916706Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5916991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5917092Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5917367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5917443Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5917761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5917838Z     self_outputs = self.self(
2025-08-14T22:06:15.5918112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5918199Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5918477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.5918746Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.5918752Z 
2025-08-14T22:06:15.5918866Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5919082Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5919164Z     return mod(**inputs)
2025-08-14T22:06:15.5919450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5919531Z     outputs = self.bert(
2025-08-14T22:06:15.5919817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5919903Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5920228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5920308Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5920558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5920678Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5920954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5921061Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5921332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5921410Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5921690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5921785Z     self_outputs = self.self(
2025-08-14T22:06:15.5922056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5922143Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5922425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.5922511Z     self.key(current_states)
2025-08-14T22:06:15.5922515Z 
2025-08-14T22:06:15.5922628Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5922851Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5922930Z     return mod(**inputs)
2025-08-14T22:06:15.5923215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5923295Z     outputs = self.bert(
2025-08-14T22:06:15.5923582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5923662Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5923946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5924024Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5924266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5924359Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5924634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5924729Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5924992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5925067Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5925345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5925480Z     self_outputs = self.self(
2025-08-14T22:06:15.5925748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5925833Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5926104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.5926190Z     self.value(current_states)
2025-08-14T22:06:15.5926194Z 
2025-08-14T22:06:15.5926284Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5926395Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5926621Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5926693Z     return mod(**inputs)
2025-08-14T22:06:15.5926963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5927041Z     outputs = self.bert(
2025-08-14T22:06:15.5927315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5927425Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5927699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5927776Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5928029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5928111Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5928388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5928495Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5928756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5928841Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5929111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5929186Z     self_outputs = self.self(
2025-08-14T22:06:15.5929457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5929530Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5929808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.5929951Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.5929957Z 
2025-08-14T22:06:15.5930069Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5930379Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5930455Z     return mod(**inputs)
2025-08-14T22:06:15.5930736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5930817Z     outputs = self.bert(
2025-08-14T22:06:15.5931092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5931181Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5931452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5931531Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5931781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5931870Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5932147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5932279Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5932547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5932634Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5932904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.5933044Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.5933321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.5933412Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5933418Z 
2025-08-14T22:06:15.5933538Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5933752Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5933826Z     return mod(**inputs)
2025-08-14T22:06:15.5934112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5934203Z     outputs = self.bert(
2025-08-14T22:06:15.5934485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5934565Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5934834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5934922Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5935167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5935273Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5935555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5935647Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5935946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5936031Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5936339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5936477Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5936747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.5936835Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5936848Z 
2025-08-14T22:06:15.5936961Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5937179Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5937258Z     return mod(**inputs)
2025-08-14T22:06:15.5937536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5937608Z     outputs = self.bert(
2025-08-14T22:06:15.5937892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5937972Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5938251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5938329Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5938570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5938665Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5938971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5939063Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5939358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5939439Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5939748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5939877Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5940148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.5940279Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.5940513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.5940599Z     return self.act(input)
2025-08-14T22:06:15.5940602Z 
2025-08-14T22:06:15.5940747Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5940965Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5941048Z     return mod(**inputs)
2025-08-14T22:06:15.5941323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5941394Z     outputs = self.bert(
2025-08-14T22:06:15.5941674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5941756Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5942060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5942140Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5942389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5942488Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5942760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5942852Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5943147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5943231Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5943544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.5943694Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.5943966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.5944069Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5944074Z 
2025-08-14T22:06:15.5944188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5944408Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5944481Z     return mod(**inputs)
2025-08-14T22:06:15.5944752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5944832Z     outputs = self.bert(
2025-08-14T22:06:15.5945104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5945186Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5945467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5945548Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5945838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5945929Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5946198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5946296Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5946565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5946829Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5947104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5947185Z     self_outputs = self.self(
2025-08-14T22:06:15.5947460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5947542Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5947834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.5948070Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.5948074Z 
2025-08-14T22:06:15.5948187Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5948407Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5948480Z     return mod(**inputs)
2025-08-14T22:06:15.5948759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5948860Z     outputs = self.bert(
2025-08-14T22:06:15.5949144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5949230Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5949519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5949600Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5949856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5949943Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5950242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5950341Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5950615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5950701Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5950983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5951061Z     self_outputs = self.self(
2025-08-14T22:06:15.5951347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5951423Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5951702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.5951788Z     self.key(current_states)
2025-08-14T22:06:15.5951792Z 
2025-08-14T22:06:15.5951904Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5952133Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5952206Z     return mod(**inputs)
2025-08-14T22:06:15.5952491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5952573Z     outputs = self.bert(
2025-08-14T22:06:15.5952911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5952996Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5953270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5953348Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5953594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5953681Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5953946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5954044Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5954305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5954390Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5957731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5957838Z     self_outputs = self.self(
2025-08-14T22:06:15.5958135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5958214Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5958501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.5958593Z     self.value(current_states)
2025-08-14T22:06:15.5958597Z 
2025-08-14T22:06:15.5958688Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5958831Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5959077Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5959153Z     return mod(**inputs)
2025-08-14T22:06:15.5959449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5959557Z     outputs = self.bert(
2025-08-14T22:06:15.5959849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5959938Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5960218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5960297Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5960549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5960637Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5960921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5961011Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5961279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5961362Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5961638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5961712Z     self_outputs = self.self(
2025-08-14T22:06:15.5962153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5962241Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5962522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.5962672Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.5962677Z 
2025-08-14T22:06:15.5962832Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5963060Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5963134Z     return mod(**inputs)
2025-08-14T22:06:15.5963409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5963489Z     outputs = self.bert(
2025-08-14T22:06:15.5963773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5963861Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5964143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5964224Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5964475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5964561Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5964980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5965075Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5965349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5965430Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5965710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.5965852Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.5966158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.5966250Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5966254Z 
2025-08-14T22:06:15.5966373Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5966593Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5966665Z     return mod(**inputs)
2025-08-14T22:06:15.5966947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5967020Z     outputs = self.bert(
2025-08-14T22:06:15.5967291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5967378Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5967648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5967737Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5967984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5968067Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5968346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5968436Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5968732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5968817Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5969122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5969262Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5969530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.5969656Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5969668Z 
2025-08-14T22:06:15.5969784Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5970002Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5970080Z     return mod(**inputs)
2025-08-14T22:06:15.5970422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5970500Z     outputs = self.bert(
2025-08-14T22:06:15.5970780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5970859Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5971137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5971218Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5971461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5971610Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5971915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5972008Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5972306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5972392Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5972707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5972859Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5973127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.5973262Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.5973497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.5973580Z     return self.act(input)
2025-08-14T22:06:15.5973584Z 
2025-08-14T22:06:15.5973695Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5973911Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5973992Z     return mod(**inputs)
2025-08-14T22:06:15.5974268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5974341Z     outputs = self.bert(
2025-08-14T22:06:15.5974636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5974717Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5974994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5975075Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5975320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5975412Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5975680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5975771Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5976063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5976147Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5976460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.5976625Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.5976897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.5976994Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5976997Z 
2025-08-14T22:06:15.5977110Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5977332Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5977404Z     return mod(**inputs)
2025-08-14T22:06:15.5977674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5977764Z     outputs = self.bert(
2025-08-14T22:06:15.5978027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5978104Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5978374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5978488Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5978731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5978815Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5979075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5979168Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5979429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5979523Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5979798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5979874Z     self_outputs = self.self(
2025-08-14T22:06:15.5980149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5980223Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5980492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.5980723Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.5980727Z 
2025-08-14T22:06:15.5980835Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5981051Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5981122Z     return mod(**inputs)
2025-08-14T22:06:15.5981395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5981472Z     outputs = self.bert(
2025-08-14T22:06:15.5981747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5981826Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5982099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5982174Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5982419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5982498Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5982770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5982866Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5983145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5983231Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5983497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5983572Z     self_outputs = self.self(
2025-08-14T22:06:15.5983834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5983907Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5984167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.5984250Z     self.key(current_states)
2025-08-14T22:06:15.5984255Z 
2025-08-14T22:06:15.5984363Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5984579Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5984649Z     return mod(**inputs)
2025-08-14T22:06:15.5984918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5985030Z     outputs = self.bert(
2025-08-14T22:06:15.5985296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5985375Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5985643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5985719Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5985965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5986065Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5986328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5986421Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5986676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5986757Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5987016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5987089Z     self_outputs = self.self(
2025-08-14T22:06:15.5987349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5987422Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5987679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.5987767Z     self.value(current_states)
2025-08-14T22:06:15.5987770Z 
2025-08-14T22:06:15.5987859Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.5987976Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5988188Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5988257Z     return mod(**inputs)
2025-08-14T22:06:15.5988527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5988598Z     outputs = self.bert(
2025-08-14T22:06:15.5988861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5988948Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5989207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5989291Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5989542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5989626Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5989910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5989994Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5990247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5990327Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5990586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.5990668Z     self_outputs = self.self(
2025-08-14T22:06:15.5990927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5990998Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5991270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.5991438Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.5991460Z 
2025-08-14T22:06:15.5991578Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5991787Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5991857Z     return mod(**inputs)
2025-08-14T22:06:15.5992128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5992197Z     outputs = self.bert(
2025-08-14T22:06:15.5992459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5992576Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5992839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5992926Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5993165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5993247Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5993522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.5993605Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.5993862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.5993945Z     return func(*args, **kwargs)
2025-08-14T22:06:15.5994211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.5994358Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.5994623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.5994714Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5994718Z 
2025-08-14T22:06:15.5994834Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5995044Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5995120Z     return mod(**inputs)
2025-08-14T22:06:15.5995387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5995456Z     outputs = self.bert(
2025-08-14T22:06:15.5995729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5995807Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5996089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5996177Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5996412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5996502Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.5996762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.5996851Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.5997146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.5997226Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.5997531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.5997658Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.5997920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.5998053Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.5998057Z 
2025-08-14T22:06:15.5998167Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.5998377Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.5998452Z     return mod(**inputs)
2025-08-14T22:06:15.5998724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.5998799Z     outputs = self.bert(
2025-08-14T22:06:15.5999085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.5999161Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.5999429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.5999507Z     layer_outputs = layer_module(
2025-08-14T22:06:15.5999744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.5999836Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6000098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6000192Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6000468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6000551Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6000855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.6000980Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.6001253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.6001371Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.6001596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.6001681Z     return self.act(input)
2025-08-14T22:06:15.6001684Z 
2025-08-14T22:06:15.6001794Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6002005Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6002083Z     return mod(**inputs)
2025-08-14T22:06:15.6002350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6002429Z     outputs = self.bert(
2025-08-14T22:06:15.6002720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6002802Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6003071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6003146Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6003392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6003475Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6003735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6003832Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6004108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6004189Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6004526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.6004667Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.6004933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.6005018Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6005022Z 
2025-08-14T22:06:15.6005130Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6005345Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6005435Z     return mod(**inputs)
2025-08-14T22:06:15.6005704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6005776Z     outputs = self.bert(
2025-08-14T22:06:15.6006041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6006129Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6006392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6006467Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6006709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6006790Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6007058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6007146Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6007418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6007507Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6007785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6007860Z     self_outputs = self.self(
2025-08-14T22:06:15.6008122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6008197Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6008460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.6008681Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.6008686Z 
2025-08-14T22:06:15.6008795Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6009036Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6009108Z     return mod(**inputs)
2025-08-14T22:06:15.6009385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6009456Z     outputs = self.bert(
2025-08-14T22:06:15.6009724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6009811Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6010083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6010160Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6010500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6010597Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6010874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6010993Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6011282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6011371Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6011649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6011726Z     self_outputs = self.self(
2025-08-14T22:06:15.6011993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6012070Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6012364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.6012443Z     self.key(current_states)
2025-08-14T22:06:15.6012447Z 
2025-08-14T22:06:15.6012559Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6012783Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6012856Z     return mod(**inputs)
2025-08-14T22:06:15.6013136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6013208Z     outputs = self.bert(
2025-08-14T22:06:15.6013476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6013561Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6013826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6013904Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6014156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6014240Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6014521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6014609Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6014868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6014949Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6015214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6015289Z     self_outputs = self.self(
2025-08-14T22:06:15.6015561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6015636Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6015932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.6016014Z     self.value(current_states)
2025-08-14T22:06:15.6016018Z 
2025-08-14T22:06:15.6016111Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.6016231Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6016446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6016516Z     return mod(**inputs)
2025-08-14T22:06:15.6016801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6016873Z     outputs = self.bert(
2025-08-14T22:06:15.6017157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6017239Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6017510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6017615Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6017893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6017988Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6018255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6018343Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6018616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6018690Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6018978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6019063Z     self_outputs = self.self(
2025-08-14T22:06:15.6019335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6019419Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6019697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.6019844Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.6019848Z 
2025-08-14T22:06:15.6019966Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6020180Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6020257Z     return mod(**inputs)
2025-08-14T22:06:15.6020542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6020615Z     outputs = self.bert(
2025-08-14T22:06:15.6020901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6020983Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6021259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6021343Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6021593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6021686Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6021963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6022051Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6022320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6022395Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6022691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.6022846Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.6023128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.6023224Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6023228Z 
2025-08-14T22:06:15.6023338Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6023570Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6023650Z     return mod(**inputs)
2025-08-14T22:06:15.6023942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6024020Z     outputs = self.bert(
2025-08-14T22:06:15.6024308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6024407Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6024700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6024780Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6025031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6025126Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6025407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6025506Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6025813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6025899Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6026212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.6026347Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.6026631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.6026728Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6026732Z 
2025-08-14T22:06:15.6026844Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6027094Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6027165Z     return mod(**inputs)
2025-08-14T22:06:15.6027458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6027540Z     outputs = self.bert(
2025-08-14T22:06:15.6027827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6027916Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6028197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6028276Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6028534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6028615Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6028875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6028972Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6029247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6029354Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6029653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.6029778Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.6030045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.6030162Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.6030394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.6030468Z     return self.act(input)
2025-08-14T22:06:15.6030474Z 
2025-08-14T22:06:15.6030582Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6030795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6030865Z     return mod(**inputs)
2025-08-14T22:06:15.6031131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6031248Z     outputs = self.bert(
2025-08-14T22:06:15.6031517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6031603Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6031866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6031944Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6032190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6032296Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6032567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6032669Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6032959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6033050Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6033367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.6033507Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.6033779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.6033866Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6033871Z 
2025-08-14T22:06:15.6033985Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6034195Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6034267Z     return mod(**inputs)
2025-08-14T22:06:15.6034548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6034618Z     outputs = self.bert(
2025-08-14T22:06:15.6034886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6034970Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6035235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6035318Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6035553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6035638Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6035937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6036030Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6036304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6036382Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6036649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6036733Z     self_outputs = self.self(
2025-08-14T22:06:15.6036997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6037073Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6037354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.6037576Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.6037581Z 
2025-08-14T22:06:15.6037717Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6037943Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6038015Z     return mod(**inputs)
2025-08-14T22:06:15.6038291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6038360Z     outputs = self.bert(
2025-08-14T22:06:15.6038624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6038709Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6038989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6039073Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6039307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6039389Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6039657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6039742Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6040001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6040076Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6040336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6040418Z     self_outputs = self.self(
2025-08-14T22:06:15.6040670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6040743Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6041012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.6041090Z     self.key(current_states)
2025-08-14T22:06:15.6041096Z 
2025-08-14T22:06:15.6041212Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6041421Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6041490Z     return mod(**inputs)
2025-08-14T22:06:15.6041763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6041832Z     outputs = self.bert(
2025-08-14T22:06:15.6042097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6042183Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6042464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6042550Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6042791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6042873Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6043137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6043222Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6043484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6043557Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6043815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6043897Z     self_outputs = self.self(
2025-08-14T22:06:15.6044151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6044263Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6044551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.6044631Z     self.value(current_states)
2025-08-14T22:06:15.6044635Z 
2025-08-14T22:06:15.6044728Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.6044838Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6045046Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6045123Z     return mod(**inputs)
2025-08-14T22:06:15.6045407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6045477Z     outputs = self.bert(
2025-08-14T22:06:15.6045749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6045828Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6046092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6046166Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6046400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6046488Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6046745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6046830Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6047092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6047164Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6047429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6047503Z     self_outputs = self.self(
2025-08-14T22:06:15.6047757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6047836Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6048092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.6048238Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.6048242Z 
2025-08-14T22:06:15.6048349Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6048559Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6048636Z     return mod(**inputs)
2025-08-14T22:06:15.6048921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6048995Z     outputs = self.bert(
2025-08-14T22:06:15.6049268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6049346Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6049616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6049692Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6049934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6050026Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6050381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6050475Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6050753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6050876Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6051153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.6051294Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.6051562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.6051663Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6051667Z 
2025-08-14T22:06:15.6051779Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6052023Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6052098Z     return mod(**inputs)
2025-08-14T22:06:15.6052373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6052457Z     outputs = self.bert(
2025-08-14T22:06:15.6052732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6052813Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6053091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6053172Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6053421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6053508Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6053776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6053876Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6054159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6054264Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6054565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.6054697Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.6054972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.6055060Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6055064Z 
2025-08-14T22:06:15.6055177Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6055399Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6055471Z     return mod(**inputs)
2025-08-14T22:06:15.6055769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6055844Z     outputs = self.bert(
2025-08-14T22:06:15.6056119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6056208Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6056476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6056553Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6056801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6056888Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6057165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6057258Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6057575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6057669Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6057973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.6058111Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.6058381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.6058503Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.6058764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.6058841Z     return self.act(input)
2025-08-14T22:06:15.6058845Z 
2025-08-14T22:06:15.6058965Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6059183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6059256Z     return mod(**inputs)
2025-08-14T22:06:15.6059539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6059612Z     outputs = self.bert(
2025-08-14T22:06:15.6059884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6059973Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6060245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6060334Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6060578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6060665Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6060974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6061063Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6061350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6061439Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6061746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.6061898Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.6062388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.6062485Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6062563Z 
2025-08-14T22:06:15.6062689Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6062906Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6062987Z     return mod(**inputs)
2025-08-14T22:06:15.6063275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6063347Z     outputs = self.bert(
2025-08-14T22:06:15.6063625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6063707Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6063995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6064084Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6064349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6064479Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6064804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6064896Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6065185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6065262Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6065555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6065641Z     self_outputs = self.self(
2025-08-14T22:06:15.6065958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6066040Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6066335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.6066566Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.6066570Z 
2025-08-14T22:06:15.6066689Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6066936Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6067016Z     return mod(**inputs)
2025-08-14T22:06:15.6067319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6067390Z     outputs = self.bert(
2025-08-14T22:06:15.6067699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6067780Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6068053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6068140Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6068408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6068512Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6068777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6068865Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6069131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6069206Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6069471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6069581Z     self_outputs = self.self(
2025-08-14T22:06:15.6069839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6069924Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6070180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.6070256Z     self.key(current_states)
2025-08-14T22:06:15.6070260Z 
2025-08-14T22:06:15.6070376Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6070585Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6070662Z     return mod(**inputs)
2025-08-14T22:06:15.6070930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6070998Z     outputs = self.bert(
2025-08-14T22:06:15.6071266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6071364Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6071661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6071745Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6071981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6072071Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6072329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6072414Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6072693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6072765Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6073023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6073105Z     self_outputs = self.self(
2025-08-14T22:06:15.6073360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6073440Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6073698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.6073775Z     self.value(current_states)
2025-08-14T22:06:15.6073778Z 
2025-08-14T22:06:15.6073873Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.6073981Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6074198Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6074266Z     return mod(**inputs)
2025-08-14T22:06:15.6074530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6074610Z     outputs = self.bert(
2025-08-14T22:06:15.6074873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6074951Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6075217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6075291Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6075530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6075615Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6075873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6076013Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6076268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6076344Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6076611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6076685Z     self_outputs = self.self(
2025-08-14T22:06:15.6076947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6077019Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6077275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.6077426Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.6077430Z 
2025-08-14T22:06:15.6077539Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6077754Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6077842Z     return mod(**inputs)
2025-08-14T22:06:15.6078123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6078203Z     outputs = self.bert(
2025-08-14T22:06:15.6078467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6078545Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6078815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6078912Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6079152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6079236Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6079495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6079593Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6079853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6079927Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6080192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.6080328Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.6080593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.6080684Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6080688Z 
2025-08-14T22:06:15.6080797Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6081019Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6081091Z     return mod(**inputs)
2025-08-14T22:06:15.6081383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6081453Z     outputs = self.bert(
2025-08-14T22:06:15.6081739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6081828Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6082107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6082186Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6082444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6082547Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6082828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6082930Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6083209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6083299Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6083596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.6083723Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.6083999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.6084085Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6084089Z 
2025-08-14T22:06:15.6084207Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6084433Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6084522Z     return mod(**inputs)
2025-08-14T22:06:15.6084803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6084873Z     outputs = self.bert(
2025-08-14T22:06:15.6085148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6085226Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6085503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6085607Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6085862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6085949Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6086247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6086338Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6086637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6086720Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6087035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.6087177Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.6087470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.6087599Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.6087841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.6087920Z     return self.act(input)
2025-08-14T22:06:15.6087924Z 
2025-08-14T22:06:15.6088045Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6088281Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6088355Z     return mod(**inputs)
2025-08-14T22:06:15.6088645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6088716Z     outputs = self.bert(
2025-08-14T22:06:15.6089017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6089101Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6089414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6089505Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6089756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6089844Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6090132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6090298Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6090600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6090683Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6090993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.6091145Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.6091431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.6091568Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6091572Z 
2025-08-14T22:06:15.6091687Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6091906Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6091989Z     return mod(**inputs)
2025-08-14T22:06:15.6092266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6092342Z     outputs = self.bert(
2025-08-14T22:06:15.6092657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6092738Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6093020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6093099Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6093345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6093440Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6093713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6093809Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6094078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6094156Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6094435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6094510Z     self_outputs = self.self(
2025-08-14T22:06:15.6094776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6094863Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6095134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.6095367Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.6095371Z 
2025-08-14T22:06:15.6095485Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6095701Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6095782Z     return mod(**inputs)
2025-08-14T22:06:15.6096056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6096128Z     outputs = self.bert(
2025-08-14T22:06:15.6096426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6096509Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6096782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6096860Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6097104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6097198Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6097464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6097562Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6097825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6097902Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6098192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6098285Z     self_outputs = self.self(
2025-08-14T22:06:15.6098550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6098635Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6098903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.6098987Z     self.key(current_states)
2025-08-14T22:06:15.6098991Z 
2025-08-14T22:06:15.6099104Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6100260Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6100341Z     return mod(**inputs)
2025-08-14T22:06:15.6100623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6100697Z     outputs = self.bert(
2025-08-14T22:06:15.6100985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6101067Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6101347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6101424Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6101671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6101768Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6102040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6102136Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6102404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6102481Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6102758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6102834Z     self_outputs = self.self(
2025-08-14T22:06:15.6103098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6103180Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6103450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.6103538Z     self.value(current_states)
2025-08-14T22:06:15.6103542Z 
2025-08-14T22:06:15.6103630Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.6103771Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6103994Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6104068Z     return mod(**inputs)
2025-08-14T22:06:15.6104342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6104423Z     outputs = self.bert(
2025-08-14T22:06:15.6104692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6104779Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6105045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6105126Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6105374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6105460Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6105750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6105865Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6106128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6106211Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6106477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6106553Z     self_outputs = self.self(
2025-08-14T22:06:15.6106821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6106916Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6107192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.6107338Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.6107343Z 
2025-08-14T22:06:15.6107458Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6107679Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6107751Z     return mod(**inputs)
2025-08-14T22:06:15.6108022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6108102Z     outputs = self.bert(
2025-08-14T22:06:15.6108375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6108466Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6108733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6108812Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6109064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6109150Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6109418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6109515Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6109777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6109861Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6110127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.6110272Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.6110564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.6110657Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6110661Z 
2025-08-14T22:06:15.6110782Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6110997Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6111068Z     return mod(**inputs)
2025-08-14T22:06:15.6111350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6111422Z     outputs = self.bert(
2025-08-14T22:06:15.6111695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6111786Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6112053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6112139Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6112401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6112501Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6112778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6112869Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6113163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6113248Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6113553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.6113711Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.6113984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.6114075Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6114088Z 
2025-08-14T22:06:15.6114199Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6114415Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6114494Z     return mod(**inputs)
2025-08-14T22:06:15.6114771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6114844Z     outputs = self.bert(
2025-08-14T22:06:15.6115123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6115206Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6115483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6115562Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6115807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6115899Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6116169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6116258Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6116551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6116633Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6116947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.6117075Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.6117367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.6117503Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.6117733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.6117809Z     return self.act(input)
2025-08-14T22:06:15.6117821Z 
2025-08-14T22:06:15.6117934Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6118148Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6118226Z     return mod(**inputs)
2025-08-14T22:06:15.6118501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6118575Z     outputs = self.bert(
2025-08-14T22:06:15.6118855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6118955Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6119259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6119339Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6119582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6119675Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6119944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6120035Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6120346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6120429Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6120742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.6120888Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.6121169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.6121264Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6121268Z 
2025-08-14T22:06:15.6121380Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6121600Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6121671Z     return mod(**inputs)
2025-08-14T22:06:15.6121947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6122026Z     outputs = self.bert(
2025-08-14T22:06:15.6122302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6122383Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6122661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6122738Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6122988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6123072Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6123339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6123439Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6123703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6123801Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6124089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6124169Z     self_outputs = self.self(
2025-08-14T22:06:15.6124453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6124530Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6124809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.6125041Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.6125046Z 
2025-08-14T22:06:15.6125158Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6125389Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6125462Z     return mod(**inputs)
2025-08-14T22:06:15.6125752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6125870Z     outputs = self.bert(
2025-08-14T22:06:15.6126154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6126235Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6126523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6126601Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6126855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6126960Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6127242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6127341Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6127627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6127710Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6127992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6128069Z     self_outputs = self.self(
2025-08-14T22:06:15.6128345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6128420Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6128701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.6128786Z     self.key(current_states)
2025-08-14T22:06:15.6128789Z 
2025-08-14T22:06:15.6128903Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6129128Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6129200Z     return mod(**inputs)
2025-08-14T22:06:15.6129487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6129566Z     outputs = self.bert(
2025-08-14T22:06:15.6129853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6129932Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6130306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6130396Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6130654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6130761Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6131042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6131143Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6131408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6131484Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6131771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6131848Z     self_outputs = self.self(
2025-08-14T22:06:15.6132123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6132201Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6132482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.6132572Z     self.value(current_states)
2025-08-14T22:06:15.6132609Z 
2025-08-14T22:06:15.6132703Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.6132841Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6133058Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6133129Z     return mod(**inputs)
2025-08-14T22:06:15.6133406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6133478Z     outputs = self.bert(
2025-08-14T22:06:15.6133765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6133874Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6134150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6134238Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6134481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6134569Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6134843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6134932Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6135194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6135279Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6135547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6135634Z     self_outputs = self.self(
2025-08-14T22:06:15.6135900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6135978Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6136255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.6136401Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.6136405Z 
2025-08-14T22:06:15.6136524Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6136740Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6136812Z     return mod(**inputs)
2025-08-14T22:06:15.6137092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6137165Z     outputs = self.bert(
2025-08-14T22:06:15.6137437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6137547Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6137822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6137908Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6138150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6138234Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6138510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6138597Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6138859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6138945Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6139213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.6139383Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.6139677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.6139769Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6139773Z 
2025-08-14T22:06:15.6139894Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6140107Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6140187Z     return mod(**inputs)
2025-08-14T22:06:15.6140459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6140550Z     outputs = self.bert(
2025-08-14T22:06:15.6140836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6140918Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6141199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6141285Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6141533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6141624Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6141907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6141994Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6142288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6142369Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6142675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.6142815Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.6143082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.6143174Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6143177Z 
2025-08-14T22:06:15.6143287Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6143500Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6143579Z     return mod(**inputs)
2025-08-14T22:06:15.6143854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6143933Z     outputs = self.bert(
2025-08-14T22:06:15.6144223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6144303Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6144571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6144646Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6144881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6144970Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6145230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6145325Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6145617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6145700Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6146015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.6146190Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.6146467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.6146591Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.6146823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.6146909Z     return self.act(input)
2025-08-14T22:06:15.6146913Z 
2025-08-14T22:06:15.6147023Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6147262Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6147341Z     return mod(**inputs)
2025-08-14T22:06:15.6147614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6147697Z     outputs = self.bert(
2025-08-14T22:06:15.6147971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6148052Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6148328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6148406Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6148648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6148741Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6149013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6149111Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6149396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6149483Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6149795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.6149938Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.6150215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.6150304Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6150307Z 
2025-08-14T22:06:15.6150423Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6150648Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6150718Z     return mod(**inputs)
2025-08-14T22:06:15.6151016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6151101Z     outputs = self.bert(
2025-08-14T22:06:15.6151376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6151465Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6151734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6151812Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6152064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6152152Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6152427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6152518Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6152803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6152903Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6153167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6153243Z     self_outputs = self.self(
2025-08-14T22:06:15.6153512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6153587Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6153861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.6154103Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.6154107Z 
2025-08-14T22:06:15.6154219Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6154442Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6154515Z     return mod(**inputs)
2025-08-14T22:06:15.6154798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6154871Z     outputs = self.bert(
2025-08-14T22:06:15.6155142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6155231Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6155499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6155578Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6155832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6155917Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6156195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6156281Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6156545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6156628Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6156895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6156972Z     self_outputs = self.self(
2025-08-14T22:06:15.6157245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6157321Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6157614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.6157694Z     self.key(current_states)
2025-08-14T22:06:15.6157698Z 
2025-08-14T22:06:15.6157811Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6158038Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6158109Z     return mod(**inputs)
2025-08-14T22:06:15.6158392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6158462Z     outputs = self.bert(
2025-08-14T22:06:15.6158737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6158825Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6159097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6159174Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6159444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6159548Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6159824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6159914Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6160175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6160256Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6160524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6160620Z     self_outputs = self.self(
2025-08-14T22:06:15.6160902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6160978Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6161265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.6161346Z     self.value(current_states)
2025-08-14T22:06:15.6161349Z 
2025-08-14T22:06:15.6161438Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.6161558Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6161781Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6161852Z     return mod(**inputs)
2025-08-14T22:06:15.6162291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6162373Z     outputs = self.bert(
2025-08-14T22:06:15.6162658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6162740Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6163014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6163101Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6163344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6163437Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6163705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6163794Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6164067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6164142Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6164474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6164563Z     self_outputs = self.self(
2025-08-14T22:06:15.6164829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6164913Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6165192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.6165339Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.6165343Z 
2025-08-14T22:06:15.6165465Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6165694Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6165769Z     return mod(**inputs)
2025-08-14T22:06:15.6166065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6166137Z     outputs = self.bert(
2025-08-14T22:06:15.6166486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6166568Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6166845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6166930Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6167174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6167266Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6167542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6167694Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6167972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6168050Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6168329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.6168479Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.6168759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.6168857Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6168861Z 
2025-08-14T22:06:15.6168974Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6169195Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6169274Z     return mod(**inputs)
2025-08-14T22:06:15.6169563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6169637Z     outputs = self.bert(
2025-08-14T22:06:15.6169931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6170010Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6170365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6170450Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6170693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6170785Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6171068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6171167Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6171485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6171573Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6171886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.6172017Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.6172295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.6172396Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6172400Z 
2025-08-14T22:06:15.6172513Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6172738Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6172811Z     return mod(**inputs)
2025-08-14T22:06:15.6173087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6173189Z     outputs = self.bert(
2025-08-14T22:06:15.6173495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6173588Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6173854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6173931Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6174178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6174262Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6174558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6174656Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6174943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6175037Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6175340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.6175468Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.6175744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.6175866Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.6176110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.6176184Z     return self.act(input)
2025-08-14T22:06:15.6176187Z 
2025-08-14T22:06:15.6176296Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6176514Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6176585Z     return mod(**inputs)
2025-08-14T22:06:15.6176851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6176928Z     outputs = self.bert(
2025-08-14T22:06:15.6177191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6177276Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6177534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6177611Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6177851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6177954Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6178217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6178316Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6178589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6178676Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6178968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.6179107Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.6179375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.6179463Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6179467Z 
2025-08-14T22:06:15.6179584Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6179813Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6179904Z     return mod(**inputs)
2025-08-14T22:06:15.6180180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6180250Z     outputs = self.bert(
2025-08-14T22:06:15.6180518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6180605Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6180866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6180996Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6181228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6181313Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6181582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6181669Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6181923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6182004Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6182261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6182344Z     self_outputs = self.self(
2025-08-14T22:06:15.6182596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6182672Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6182940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.6183163Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.6183169Z 
2025-08-14T22:06:15.6183287Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6183493Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6183562Z     return mod(**inputs)
2025-08-14T22:06:15.6183833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6183902Z     outputs = self.bert(
2025-08-14T22:06:15.6184164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6184251Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6184526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6184615Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6184852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6184935Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6185203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6185290Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6185555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6185629Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6185894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6185975Z     self_outputs = self.self(
2025-08-14T22:06:15.6186241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6186332Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6186618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.6186708Z     self.key(current_states)
2025-08-14T22:06:15.6186712Z 
2025-08-14T22:06:15.6186830Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6187041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6187111Z     return mod(**inputs)
2025-08-14T22:06:15.6187386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6187475Z     outputs = self.bert(
2025-08-14T22:06:15.6187743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6187831Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6188099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6188182Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6188418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6188500Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6188775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6188860Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6189119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6189202Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6189472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6189555Z     self_outputs = self.self(
2025-08-14T22:06:15.6189820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6189893Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6190166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.6190244Z     self.value(current_states)
2025-08-14T22:06:15.6190247Z 
2025-08-14T22:06:15.6190341Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.6190452Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6190666Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6190742Z     return mod(**inputs)
2025-08-14T22:06:15.6191034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6191107Z     outputs = self.bert(
2025-08-14T22:06:15.6191382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6191460Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6191728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6191803Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6192038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6192127Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6192394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6192479Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6192744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6192836Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6193132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6193208Z     self_outputs = self.self(
2025-08-14T22:06:15.6193469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6193549Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6193814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.6193987Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.6193991Z 
2025-08-14T22:06:15.6194099Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6194309Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6194389Z     return mod(**inputs)
2025-08-14T22:06:15.6194659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6194730Z     outputs = self.bert(
2025-08-14T22:06:15.6195004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6195085Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6195356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6195433Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6195674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6195765Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6196031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6196121Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6196389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6196467Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6196735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.6196874Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.6197138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.6197239Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6197242Z 
2025-08-14T22:06:15.6197354Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6197590Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6197663Z     return mod(**inputs)
2025-08-14T22:06:15.6197928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6198005Z     outputs = self.bert(
2025-08-14T22:06:15.6198268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6198344Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6198610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6198685Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6198928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6199009Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6199271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6199386Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6199682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6199766Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6200070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.6200197Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.6200467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.6200574Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6200578Z 
2025-08-14T22:06:15.6200686Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6200905Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6200978Z     return mod(**inputs)
2025-08-14T22:06:15.6201253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6201322Z     outputs = self.bert(
2025-08-14T22:06:15.6201585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6201671Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6201930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6202007Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6202249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6202331Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6202599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6202689Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6202963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6203050Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6203344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.6203478Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.6203739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.6203860Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.6204116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.6204194Z     return self.act(input)
2025-08-14T22:06:15.6204198Z 
2025-08-14T22:06:15.6204309Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6204523Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6204592Z     return mod(**inputs)
2025-08-14T22:06:15.6204869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6204941Z     outputs = self.bert(
2025-08-14T22:06:15.6205211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6205299Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6205558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6205634Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6205892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6205991Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6206262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6206349Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6206626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6206714Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6207011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.6207180Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.6207445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.6207531Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6207535Z 
2025-08-14T22:06:15.6207654Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6207865Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6207944Z     return mod(**inputs)
2025-08-14T22:06:15.6208215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6208285Z     outputs = self.bert(
2025-08-14T22:06:15.6208563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6208642Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6208910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6208994Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6209234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6209325Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6209589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6209674Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6209943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6210018Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6210379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6210472Z     self_outputs = self.self(
2025-08-14T22:06:15.6210769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6210858Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6211135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-14T22:06:15.6211362Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:06:15.6211366Z 
2025-08-14T22:06:15.6211488Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6211711Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6211788Z     return mod(**inputs)
2025-08-14T22:06:15.6212094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6212169Z     outputs = self.bert(
2025-08-14T22:06:15.6212457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6212558Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6212854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6212944Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6213191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6213286Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6213564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6213653Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6213947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6214024Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6214302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6214390Z     self_outputs = self.self(
2025-08-14T22:06:15.6214663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6214747Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6215025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-14T22:06:15.6215103Z     self.key(current_states)
2025-08-14T22:06:15.6215106Z 
2025-08-14T22:06:15.6215227Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6215460Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6215541Z     return mod(**inputs)
2025-08-14T22:06:15.6215830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6215902Z     outputs = self.bert(
2025-08-14T22:06:15.6216189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6216269Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6216545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6216629Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6216878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6216969Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6217237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6217323Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6217612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6217690Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6217965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6218047Z     self_outputs = self.self(
2025-08-14T22:06:15.6218309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6218392Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6218660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-14T22:06:15.6218741Z     self.value(current_states)
2025-08-14T22:06:15.6218745Z 
2025-08-14T22:06:15.6218842Z cudagraph partition due to non gpu ops
2025-08-14T22:06:15.6218953Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6219168Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6219268Z     return mod(**inputs)
2025-08-14T22:06:15.6219564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6219645Z     outputs = self.bert(
2025-08-14T22:06:15.6219922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6220002Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6220280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6220357Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6220629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6220714Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6220984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6221081Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6221345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6221421Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6221696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:06:15.6221772Z     self_outputs = self.self(
2025-08-14T22:06:15.6222043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6222120Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6222386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:06:15.6222541Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:06:15.6222547Z 
2025-08-14T22:06:15.6222659Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6222875Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6222954Z     return mod(**inputs)
2025-08-14T22:06:15.6223228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6223308Z     outputs = self.bert(
2025-08-14T22:06:15.6223581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6223661Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6223940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6224018Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6224292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6224381Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6224654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:06:15.6224751Z     self_attention_outputs = self.attention(
2025-08-14T22:06:15.6225012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:06:15.6225086Z     return func(*args, **kwargs)
2025-08-14T22:06:15.6225360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-14T22:06:15.6225502Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:06:15.6225774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-14T22:06:15.6225865Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6225886Z 
2025-08-14T22:06:15.6225997Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6226241Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6226315Z     return mod(**inputs)
2025-08-14T22:06:15.6226590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6226667Z     outputs = self.bert(
2025-08-14T22:06:15.6226940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6227029Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6227314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6227391Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6227639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6227724Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6227998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6228088Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6228370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6228459Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6228762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.6228894Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.6229165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-14T22:06:15.6229255Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6229258Z 
2025-08-14T22:06:15.6229375Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6229587Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6229658Z     return mod(**inputs)
2025-08-14T22:06:15.6229938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6230008Z     outputs = self.bert(
2025-08-14T22:06:15.6230286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6230367Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6230631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6230733Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6230976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6231065Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6231342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6231430Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6231720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6231804Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6232106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:06:15.6232246Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:06:15.6232517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:06:15.6232668Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:06:15.6232917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:06:15.6232996Z     return self.act(input)
2025-08-14T22:06:15.6233000Z 
2025-08-14T22:06:15.6233120Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6233336Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6233407Z     return mod(**inputs)
2025-08-14T22:06:15.6233691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:06:15.6233782Z     outputs = self.bert(
2025-08-14T22:06:15.6234059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:06:15.6234139Z     encoder_outputs = self.encoder(
2025-08-14T22:06:15.6234410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:06:15.6234506Z     layer_outputs = layer_module(
2025-08-14T22:06:15.6234741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:06:15.6234824Z     return super().__call__(*args, **kwargs)
2025-08-14T22:06:15.6235094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:06:15.6235181Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:06:15.6235466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:06:15.6235546Z     return forward_fn(*input_tensors)
2025-08-14T22:06:15.6235851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-14T22:06:15.6236001Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:06:15.6236263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-14T22:06:15.6236358Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6236362Z 
2025-08-14T22:06:15.6236473Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6236685Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6236765Z     return mod(**inputs)
2025-08-14T22:06:15.6237039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1323, in forward
2025-08-14T22:06:15.6237144Z     prediction_scores = self.cls(sequence_output)
2025-08-14T22:06:15.6237442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 780, in forward
2025-08-14T22:06:15.6237580Z     prediction_scores = self.predictions(sequence_output)
2025-08-14T22:06:15.6237849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 769, in forward
2025-08-14T22:06:15.6237947Z     hidden_states = self.transform(hidden_states)
2025-08-14T22:06:15.6238203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 745, in forward
2025-08-14T22:06:15.6238295Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:06:15.6238299Z 
2025-08-14T22:06:15.6238406Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:15.6238621Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:06:15.6238693Z     return mod(**inputs)
2025-08-14T22:06:15.6238958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1323, in forward
2025-08-14T22:06:15.6239084Z     prediction_scores = self.cls(sequence_output)
2025-08-14T22:06:15.6239358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 780, in forward
2025-08-14T22:06:15.6239477Z     prediction_scores = self.predictions(sequence_output)
2025-08-14T22:06:15.6239745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 770, in forward
2025-08-14T22:06:15.6239842Z     hidden_states = self.decoder(hidden_states)
2025-08-14T22:06:15.6239846Z 
2025-08-14T22:06:28.0795601Z Compilation time (from dynamo_timed): 39.100824435
2025-08-14T22:06:28.0919754Z pass
2025-08-14T22:06:28.0920384Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:06:28.0921735Z TIMING: _recursive_pre_grad_passes:0.01117 _recursive_joint_graph_passes:0.85965 _recursive_post_grad_passes:0.14518 async_compile.wait:0.8595 code_gen:10.30529 inductor_compile:15.27494 backend_compile:30.76901 gc:0.00112 entire_frame_compile:39.10082 total_wall_time:39.10082
2025-08-14T22:06:28.0923021Z STATS: call_* op count: 550 | FakeTensorMode.__torch_dispatch__:23531 | attempt fast:54 | fast is_contiguous:50 | slow no contiguity match:4 | FakeTensor.__torch_dispatch__:8856 | ProxyTorchDispatchMode.__torch_dispatch__:8597
2025-08-14T22:06:28.0923797Z Dynamo produced 1 graphs covering 550 ops with 0 graph breaks (0 unique)
2025-08-14T22:06:33.8191491Z 
2025-08-14T22:06:35.2245026Z loading model: 0it [00:00, ?it/s]BigBirdForMaskedLM has generative capabilities, as `prepare_inputs_for_generation` is explicitly defined. However, it doesn't directly inherit from `GenerationMixin`. From 👉v4.50👈 onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.
2025-08-14T22:06:35.2249077Z   - If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
2025-08-14T22:06:35.2249954Z   - If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).
2025-08-14T22:06:35.2250770Z   - If you are not the owner of the model architecture class, please contact the model code owner to update it.
2025-08-14T22:06:35.2252211Z WARNING:transformers.modeling_utils:BigBirdForMaskedLM has generative capabilities, as `prepare_inputs_for_generation` is explicitly defined. However, it doesn't directly inherit from `GenerationMixin`. From 👉v4.50👈 onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.
2025-08-14T22:06:35.2253768Z   - If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
2025-08-14T22:06:35.2254609Z   - If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).
2025-08-14T22:06:35.2255273Z   - If you are not the owner of the model architecture class, please contact the model code owner to update it.
2025-08-14T22:06:36.7035299Z Input ids are automatically padded from 819 to 832 to be a multiple of `config.block_size`: 64
2025-08-14T22:06:36.7036060Z WARNING:transformers.models.big_bird.modeling_big_bird:Input ids are automatically padded from 819 to 832 to be a multiple of `config.block_size`: 64
2025-08-14T22:06:38.0583232Z 
2025-08-14T22:06:38.0586053Z loading model: 0it [00:04, ?it/s]
2025-08-14T22:06:38.0600826Z cpu  eval  hf_BigBird                         
2025-08-14T22:06:41.3770128Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:06:42.8617042Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:06:44.3459660Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:06:53.0879043Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:53.0879706Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1897, in forward
2025-08-14T22:06:53.0880355Z     attention_mask = torch.ones(((batch_size, seq_length + past_key_values_length)), device=device)
2025-08-14T22:06:53.0880642Z 
2025-08-14T22:06:54.3291291Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:54.3298134Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2090, in torch_dynamo_resume_in__pad_to_block_size_at_2085
2025-08-14T22:06:54.3300214Z     input_ids = nn.functional.pad(input_ids, (0, padding_len), value=pad_token_id)
2025-08-14T22:06:54.3300934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:06:54.3301408Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:06:54.3301610Z 
2025-08-14T22:06:54.3301736Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:54.3302389Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2103, in torch_dynamo_resume_in__pad_to_block_size_at_2085
2025-08-14T22:06:54.3302901Z     attention_mask = nn.functional.pad(
2025-08-14T22:06:54.3303243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:06:54.3303605Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:06:54.3303755Z 
2025-08-14T22:06:54.3303867Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:54.3304374Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2106, in torch_dynamo_resume_in__pad_to_block_size_at_2085
2025-08-14T22:06:54.3304984Z     token_type_ids = nn.functional.pad(token_type_ids, (0, padding_len), value=0)  # pad with token_type_id = 0
2025-08-14T22:06:54.3305440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:06:54.3305788Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:06:54.3305937Z 
2025-08-14T22:06:58.0934666Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:58.0935365Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1983, in torch_dynamo_resume_in_forward_at_1935
2025-08-14T22:06:58.0935901Z     embedding_output = self.embeddings(
2025-08-14T22:06:58.0936705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 292, in forward
2025-08-14T22:06:58.0937194Z     embeddings += position_embeddings
2025-08-14T22:06:58.0937361Z 
2025-08-14T22:06:58.0937469Z cudagraph partition due to non gpu ops
2025-08-14T22:06:58.0937728Z cudagraph partition due to non gpu ops
2025-08-14T22:06:58.0937952Z cudagraph partition due to non gpu ops
2025-08-14T22:06:58.0938196Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:58.0938792Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1947, in torch_dynamo_resume_in_forward_at_1935
2025-08-14T22:06:58.0939375Z     blocked_encoder_mask, band_mask, from_mask, to_mask = self.create_masks_for_block_sparse_attn(
2025-08-14T22:06:58.0939968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2060, in create_masks_for_block_sparse_attn
2025-08-14T22:06:58.0940505Z     band_mask = create_band_mask_from_inputs(blocked_encoder_mask, blocked_encoder_mask)
2025-08-14T22:06:58.0941226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2052, in create_band_mask_from_inputs
2025-08-14T22:06:58.0941672Z     exp_blocked_to_pad = torch.cat(
2025-08-14T22:06:58.0941806Z 
2025-08-14T22:06:58.0941924Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:58.0942444Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1947, in torch_dynamo_resume_in_forward_at_1935
2025-08-14T22:06:58.0943003Z     blocked_encoder_mask, band_mask, from_mask, to_mask = self.create_masks_for_block_sparse_attn(
2025-08-14T22:06:58.0943555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2060, in create_masks_for_block_sparse_attn
2025-08-14T22:06:58.0944827Z     band_mask = create_band_mask_from_inputs(blocked_encoder_mask, blocked_encoder_mask)
2025-08-14T22:06:58.0945340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2055, in create_band_mask_from_inputs
2025-08-14T22:06:58.0945867Z     band_mask = torch.einsum("blq,blk->blqk", from_blocked_mask[:, 2:-2], exp_blocked_to_pad)
2025-08-14T22:06:58.0946088Z 
2025-08-14T22:07:04.7986896Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:04.7988334Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward
2025-08-14T22:07:04.7988776Z     self.query(hidden_states)
2025-08-14T22:07:04.7988913Z 
2025-08-14T22:07:04.7989023Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:04.7989507Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 445, in forward
2025-08-14T22:07:04.7989914Z     self.key(hidden_states)
2025-08-14T22:07:04.7990032Z 
2025-08-14T22:07:04.7990143Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:04.7990640Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 450, in forward
2025-08-14T22:07:04.7991034Z     self.value(hidden_states)
2025-08-14T22:07:04.7991152Z 
2025-08-14T22:07:06.2640022Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:06.2642479Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1139, in _bigbird_block_rand_mask_with_head
2025-08-14T22:07:06.2648047Z     plan_block_length = np.array(plan_from_length) // from_block_size
2025-08-14T22:07:06.2648295Z 
2025-08-14T22:07:10.3240612Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3246014Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 602, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3247198Z     first_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 0], key_layer, ndim=4)
2025-08-14T22:07:10.3247867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 494, in torch_bmm_nd_transpose
2025-08-14T22:07:10.3248494Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-14T22:07:10.3248744Z 
2025-08-14T22:07:10.3248871Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3249525Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 602, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3250488Z     first_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 0], key_layer, ndim=4)
2025-08-14T22:07:10.3251135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 494, in torch_bmm_nd_transpose
2025-08-14T22:07:10.3251742Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-14T22:07:10.3252057Z 
2025-08-14T22:07:10.3252231Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3252804Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 611, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3253440Z     first_context_layer = self.torch_bmm_nd(first_attn_weights, value_layer, ndim=4)
2025-08-14T22:07:10.3253979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd
2025-08-14T22:07:10.3254595Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-14T22:07:10.3254847Z 
2025-08-14T22:07:10.3254942Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3255182Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3255411Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3255635Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3255850Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3256075Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3256294Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3256512Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3256731Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3256953Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3257168Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3257386Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3257608Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3257823Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3258042Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3258261Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3258512Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3259087Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 642, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3259758Z     second_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 1], second_key_mat, ndim=4)
2025-08-14T22:07:10.3260358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 494, in torch_bmm_nd_transpose
2025-08-14T22:07:10.3260922Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-14T22:07:10.3261155Z 
2025-08-14T22:07:10.3261244Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3261470Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3261724Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3262605Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 647, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3263222Z     to_mask.new_ones([bsz, 1, 1, n_rand_blocks * to_block_size]),
2025-08-14T22:07:10.3263417Z 
2025-08-14T22:07:10.3263528Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3264105Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 653, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3264758Z     rand_mask.new_ones([bsz, n_heads, from_block_size, 4 * to_block_size]),
2025-08-14T22:07:10.3264975Z 
2025-08-14T22:07:10.3265061Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3265287Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3265538Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3266102Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 698, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3266684Z     first_band_product = torch.einsum(
2025-08-14T22:07:10.3266856Z 
2025-08-14T22:07:10.3266948Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3267166Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3267391Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3267646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3268230Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 704, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3268779Z     last_band_product = torch.einsum(
2025-08-14T22:07:10.3268961Z 
2025-08-14T22:07:10.3269041Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3269258Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3269467Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3269761Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3269982Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3270210Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3270437Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3270685Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3271244Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 776, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3271949Z     second_last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -2], second_last_key_mat, ndim=4)
2025-08-14T22:07:10.3272565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 494, in torch_bmm_nd_transpose
2025-08-14T22:07:10.3273136Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-14T22:07:10.3273370Z 
2025-08-14T22:07:10.3273452Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3273674Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3273923Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3274484Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 781, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3275067Z     to_mask.new_ones([bsz, 1, 1, n_rand_blocks * to_block_size]),
2025-08-14T22:07:10.3275256Z 
2025-08-14T22:07:10.3275365Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3275923Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 787, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3276556Z     rand_mask.new_ones([bsz, n_heads, from_block_size, 4 * to_block_size]),
2025-08-14T22:07:10.3276766Z 
2025-08-14T22:07:10.3276875Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3277114Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3277361Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3277919Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 807, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3278565Z     last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -1], key_layer, ndim=4)
2025-08-14T22:07:10.3279141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 494, in torch_bmm_nd_transpose
2025-08-14T22:07:10.3279691Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-14T22:07:10.3279927Z 
2025-08-14T22:07:10.3280036Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3280607Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 807, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3281298Z     last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -1], key_layer, ndim=4)
2025-08-14T22:07:10.3281875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 494, in torch_bmm_nd_transpose
2025-08-14T22:07:10.3282430Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-14T22:07:10.3282662Z 
2025-08-14T22:07:10.3282773Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3283341Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 813, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3283984Z     last_context_layer = self.torch_bmm_nd(last_attn_weights, value_layer, ndim=4)
2025-08-14T22:07:10.3284511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd
2025-08-14T22:07:10.3285069Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-14T22:07:10.3285331Z 
2025-08-14T22:07:10.3285442Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3286014Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 602, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3286654Z     first_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 0], key_layer, ndim=4)
2025-08-14T22:07:10.3287247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 493, in torch_bmm_nd_transpose
2025-08-14T22:07:10.3287711Z     return torch.bmm(
2025-08-14T22:07:10.3287818Z 
2025-08-14T22:07:10.3287933Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3288495Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 611, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3289133Z     first_context_layer = self.torch_bmm_nd(first_attn_weights, value_layer, ndim=4)
2025-08-14T22:07:10.3289696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd
2025-08-14T22:07:10.3290391Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-14T22:07:10.3290663Z 
2025-08-14T22:07:10.3290789Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3291416Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 574, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3292001Z     rand_attn = np.stack(rand_attn, axis=0)
2025-08-14T22:07:10.3292160Z 
2025-08-14T22:07:10.3292281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3292867Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 577, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3293498Z     rand_attn = torch.cat([rand_attn for _ in range(batch_size)], dim=0)
2025-08-14T22:07:10.3293713Z 
2025-08-14T22:07:10.3293805Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3294067Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3294649Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 620, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3295213Z     second_key_mat = torch.cat(
2025-08-14T22:07:10.3295347Z 
2025-08-14T22:07:10.3295470Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3296133Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 642, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3296816Z     second_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 1], second_key_mat, ndim=4)
2025-08-14T22:07:10.3297430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 493, in torch_bmm_nd_transpose
2025-08-14T22:07:10.3297907Z     return torch.bmm(
2025-08-14T22:07:10.3298026Z 
2025-08-14T22:07:10.3298132Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3298664Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 643, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3299174Z     second_seq_pad = torch.cat(
2025-08-14T22:07:10.3299297Z 
2025-08-14T22:07:10.3299409Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3299932Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 579, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3300446Z     rand_mask = self._create_rand_mask_from_inputs(
2025-08-14T22:07:10.3300914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in _create_rand_mask_from_inputs
2025-08-14T22:07:10.3301450Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-14T22:07:10.3301961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in <listcomp>
2025-08-14T22:07:10.3302449Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-14T22:07:10.3302673Z 
2025-08-14T22:07:10.3302777Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3303310Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 579, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3303830Z     rand_mask = self._create_rand_mask_from_inputs(
2025-08-14T22:07:10.3304289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in _create_rand_mask_from_inputs
2025-08-14T22:07:10.3304812Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-14T22:07:10.3305331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in <listcomp>
2025-08-14T22:07:10.3305846Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-14T22:07:10.3306070Z 
2025-08-14T22:07:10.3306202Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3306761Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 579, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3307312Z     rand_mask = self._create_rand_mask_from_inputs(
2025-08-14T22:07:10.3307806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in _create_rand_mask_from_inputs
2025-08-14T22:07:10.3308357Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-14T22:07:10.3308872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in <listcomp>
2025-08-14T22:07:10.3309386Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-14T22:07:10.3309612Z 
2025-08-14T22:07:10.3309733Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3310361Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 579, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3310913Z     rand_mask = self._create_rand_mask_from_inputs(
2025-08-14T22:07:10.3311409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in _create_rand_mask_from_inputs
2025-08-14T22:07:10.3311967Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-14T22:07:10.3312477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in <listcomp>
2025-08-14T22:07:10.3313011Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-14T22:07:10.3313241Z 
2025-08-14T22:07:10.3313361Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3313929Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 579, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3314477Z     rand_mask = self._create_rand_mask_from_inputs(
2025-08-14T22:07:10.3314974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in _create_rand_mask_from_inputs
2025-08-14T22:07:10.3315528Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-14T22:07:10.3315760Z 
2025-08-14T22:07:10.3315854Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3316104Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3316670Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 651, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3317219Z     second_rand_pad = torch.cat(
2025-08-14T22:07:10.3317398Z 
2025-08-14T22:07:10.3317516Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3318076Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 630, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3318607Z     second_value_mat = torch.cat(
2025-08-14T22:07:10.3318742Z 
2025-08-14T22:07:10.3318861Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3319414Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 665, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3320055Z     second_context_layer = self.torch_bmm_nd(second_attn_weights, second_value_mat, ndim=4)
2025-08-14T22:07:10.3320625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd
2025-08-14T22:07:10.3321174Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-14T22:07:10.3321429Z 
2025-08-14T22:07:10.3321536Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3322103Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 698, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3322642Z     first_band_product = torch.einsum(
2025-08-14T22:07:10.3322780Z 
2025-08-14T22:07:10.3322892Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3323437Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 676, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3323975Z     exp_blocked_key_matrix = torch.cat(
2025-08-14T22:07:10.3324124Z 
2025-08-14T22:07:10.3324232Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3324834Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 687, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3325484Z     inner_band_product = self.torch_bmm_nd_transpose(middle_query_matrix, exp_blocked_key_matrix, ndim=5)
2025-08-14T22:07:10.3326067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 493, in torch_bmm_nd_transpose
2025-08-14T22:07:10.3326521Z     return torch.bmm(
2025-08-14T22:07:10.3326624Z 
2025-08-14T22:07:10.3326737Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3327312Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 693, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3327974Z     rand_band_product = self.torch_bmm_nd_transpose(middle_query_matrix, gathered_key[:, :, 1:-1], ndim=5)
2025-08-14T22:07:10.3328567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 493, in torch_bmm_nd_transpose
2025-08-14T22:07:10.3329015Z     return torch.bmm(
2025-08-14T22:07:10.3329119Z 
2025-08-14T22:07:10.3329226Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3329784Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 704, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3330421Z     last_band_product = torch.einsum(
2025-08-14T22:07:10.3330566Z 
2025-08-14T22:07:10.3330685Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3331253Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 711, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3331902Z     first_band_product += (1.0 - to_mask[:, :, :, :to_block_size].unsqueeze(3)) * attn_mask_penalty
2025-08-14T22:07:10.3332140Z 
2025-08-14T22:07:10.3332251Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3332820Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 710, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3333411Z     inner_band_product += (1.0 - band_mask) * attn_mask_penalty
2025-08-14T22:07:10.3333608Z 
2025-08-14T22:07:10.3333719Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3334293Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 713, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3334899Z     rand_band_product += (1.0 - rand_mask[:, :, 1:-1]) * attn_mask_penalty
2025-08-14T22:07:10.3335123Z 
2025-08-14T22:07:10.3335234Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3335845Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 712, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3336486Z     last_band_product += (1.0 - to_mask[:, :, :, -to_block_size:].unsqueeze(3)) * attn_mask_penalty
2025-08-14T22:07:10.3336715Z 
2025-08-14T22:07:10.3336829Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3337393Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 716, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3337952Z     band_product = torch.cat(
2025-08-14T22:07:10.3338091Z 
2025-08-14T22:07:10.3338199Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3338777Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 679, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3340291Z     exp_blocked_value_matrix = torch.cat(
2025-08-14T22:07:10.3340475Z 
2025-08-14T22:07:10.3340590Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3341158Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 727, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3341706Z     context_layer = self.torch_bmm_nd(
2025-08-14T22:07:10.3342150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd
2025-08-14T22:07:10.3342758Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-14T22:07:10.3343022Z 
2025-08-14T22:07:10.3343132Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3343717Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 734, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3344279Z     context_layer += self.torch_bmm_nd(
2025-08-14T22:07:10.3344732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd
2025-08-14T22:07:10.3345285Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-14T22:07:10.3345532Z 
2025-08-14T22:07:10.3345646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3346207Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 740, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3346757Z     context_layer += torch.einsum(
2025-08-14T22:07:10.3346901Z 
2025-08-14T22:07:10.3347011Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3347580Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 743, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3348108Z     context_layer += torch.einsum(
2025-08-14T22:07:10.3348250Z 
2025-08-14T22:07:10.3348357Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3348922Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 754, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3349465Z     second_last_key_mat = torch.cat(
2025-08-14T22:07:10.3349603Z 
2025-08-14T22:07:10.3349710Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3350295Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 776, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3350973Z     second_last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -2], second_last_key_mat, ndim=4)
2025-08-14T22:07:10.3351586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 493, in torch_bmm_nd_transpose
2025-08-14T22:07:10.3352033Z     return torch.bmm(
2025-08-14T22:07:10.3352146Z 
2025-08-14T22:07:10.3352250Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3352807Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 777, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3353347Z     second_last_seq_pad = torch.cat(
2025-08-14T22:07:10.3353488Z 
2025-08-14T22:07:10.3353575Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3353825Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3354383Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 785, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3354988Z     second_last_rand_pad = torch.cat(
2025-08-14T22:07:10.3355120Z 
2025-08-14T22:07:10.3355220Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3355747Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 764, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3356247Z     second_last_value_mat = torch.cat(
2025-08-14T22:07:10.3356375Z 
2025-08-14T22:07:10.3356473Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3357028Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 799, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3357697Z     second_last_context_layer = self.torch_bmm_nd(second_last_attn_weights, second_last_value_mat, ndim=4)
2025-08-14T22:07:10.3358223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd
2025-08-14T22:07:10.3358715Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-14T22:07:10.3358945Z 
2025-08-14T22:07:10.3359046Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3359577Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 807, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3360181Z     last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -1], key_layer, ndim=4)
2025-08-14T22:07:10.3360719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 493, in torch_bmm_nd_transpose
2025-08-14T22:07:10.3361141Z     return torch.bmm(
2025-08-14T22:07:10.3361248Z 
2025-08-14T22:07:10.3361347Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3361879Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 813, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3362661Z     last_context_layer = self.torch_bmm_nd(last_attn_weights, value_layer, ndim=4)
2025-08-14T22:07:10.3363148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd
2025-08-14T22:07:10.3363664Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-14T22:07:10.3363905Z 
2025-08-14T22:07:10.3363997Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3364210Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3364448Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3365057Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 743, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3365587Z     context_layer += torch.einsum(
2025-08-14T22:07:10.3365725Z 
2025-08-14T22:07:10.3365808Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3366034Z cudagraph partition due to non gpu ops
2025-08-14T22:07:10.3366284Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3366837Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 817, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3367373Z     context_layer = torch.cat(
2025-08-14T22:07:10.3367509Z 
2025-08-14T22:07:10.3367616Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:10.3368174Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 821, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:07:10.3368861Z     context_layer = context_layer.view((bsz, n_heads, from_seq_len, -1)) * from_mask
2025-08-14T22:07:10.3369091Z 
2025-08-14T22:07:16.5127776Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:16.5134212Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 478, in torch_dynamo_resume_in_forward_at_455
2025-08-14T22:07:16.5134866Z     context_layer = context_layer.contiguous().view(batch_size, from_seq_length, -1)
2025-08-14T22:07:16.5135107Z 
2025-08-14T22:07:17.3771210Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:17.3772356Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1385, in torch_dynamo_resume_in_forward_at_1381
2025-08-14T22:07:17.3772935Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:07:17.3773538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1295, in forward
2025-08-14T22:07:17.3774020Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:07:17.3774179Z 
2025-08-14T22:07:18.4614765Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:18.4616182Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1505, in torch_dynamo_resume_in_forward_at_1468
2025-08-14T22:07:18.4616930Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:07:18.4617529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:07:18.4618132Z     return forward_fn(*input_tensors)
2025-08-14T22:07:18.4619293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1512, in feed_forward_chunk
2025-08-14T22:07:18.4619894Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:07:18.4620423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1401, in forward
2025-08-14T22:07:18.4620888Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:07:18.4621048Z 
2025-08-14T22:07:18.4621182Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:18.4621723Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1505, in torch_dynamo_resume_in_forward_at_1468
2025-08-14T22:07:18.4622239Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:07:18.4622685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:07:18.4623143Z     return forward_fn(*input_tensors)
2025-08-14T22:07:18.4623965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1512, in feed_forward_chunk
2025-08-14T22:07:18.4624501Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:07:18.4624999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1402, in forward
2025-08-14T22:07:18.4625480Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:07:18.4625924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:07:18.4626424Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:07:18.4626673Z 
2025-08-14T22:07:18.4626801Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:18.4627319Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1505, in torch_dynamo_resume_in_forward_at_1468
2025-08-14T22:07:18.4627802Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:07:18.4628333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:07:18.4628745Z     return forward_fn(*input_tensors)
2025-08-14T22:07:18.4629172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1513, in feed_forward_chunk
2025-08-14T22:07:18.4629674Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:07:18.4630173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1415, in forward
2025-08-14T22:07:18.4630660Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:07:18.4630816Z 
2025-08-14T22:07:20.0905581Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:20.0911012Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward
2025-08-14T22:07:20.0911818Z     self.query(hidden_states)
2025-08-14T22:07:20.0911955Z 
2025-08-14T22:07:20.0912093Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:20.0912578Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 445, in forward
2025-08-14T22:07:20.0913013Z     self.key(hidden_states)
2025-08-14T22:07:20.0913133Z 
2025-08-14T22:07:20.0913248Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:20.0913725Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 450, in forward
2025-08-14T22:07:20.0914169Z     self.value(hidden_states)
2025-08-14T22:07:20.0914298Z 
2025-08-14T22:07:28.6670712Z W0814 22:07:28.665450 20864 site-packages/torch/_dynamo/convert_frame.py:1102] [10/8] torch._dynamo hit config.recompile_limit (8)
2025-08-14T22:07:28.6672093Z W0814 22:07:28.665450 20864 site-packages/torch/_dynamo/convert_frame.py:1102] [10/8]    function: 'forward' (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py:417)
2025-08-14T22:07:28.6674888Z W0814 22:07:28.665450 20864 site-packages/torch/_dynamo/convert_frame.py:1102] [10/8]    last reason: 10/7: self.seed == 7                                           # context_layer, attention_probs = self.bigbird_block_sparse_attention(  # transformers/models/big_bird/modeling_big_bird.py:455 in forward (HINT: torch.compile considers integer attributes of the nn.Module to be static. If you are observing recompilation, you might want to make this integer dynamic using torch._dynamo.config.allow_unspec_int_on_nn_module = True, or convert this integer into a tensor.)
2025-08-14T22:07:28.6677151Z W0814 22:07:28.665450 20864 site-packages/torch/_dynamo/convert_frame.py:1102] [10/8] To log all recompilation reasons, use TORCH_LOGS="recompiles".
2025-08-14T22:07:28.6678631Z W0814 22:07:28.665450 20864 site-packages/torch/_dynamo/convert_frame.py:1102] [10/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html
2025-08-14T22:07:29.1388743Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:29.1393720Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2010, in torch_dynamo_resume_in_forward_at_1991
2025-08-14T22:07:29.1398944Z     pooler_output = self.activation(self.pooler(sequence_output[:, 0, :])) if (self.pooler is not None) else None
2025-08-14T22:07:29.1401037Z 
2025-08-14T22:07:29.1401280Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:29.1401826Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2010, in torch_dynamo_resume_in_forward_at_1991
2025-08-14T22:07:29.1402484Z     pooler_output = self.activation(self.pooler(sequence_output[:, 0, :])) if (self.pooler is not None) else None
2025-08-14T22:07:29.1402751Z 
2025-08-14T22:07:29.4660280Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:29.4661528Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2318, in torch_dynamo_resume_in_forward_at_2303
2025-08-14T22:07:29.4662302Z     prediction_scores = self.cls(sequence_output)
2025-08-14T22:07:29.4662798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1682, in forward
2025-08-14T22:07:29.4663312Z     prediction_scores = self.predictions(sequence_output)
2025-08-14T22:07:29.4663806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1670, in forward
2025-08-14T22:07:29.4664381Z     hidden_states = self.transform(hidden_states)
2025-08-14T22:07:29.4664869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1645, in forward
2025-08-14T22:07:29.4665343Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:07:29.4665499Z 
2025-08-14T22:07:29.4665620Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:29.4666151Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2318, in torch_dynamo_resume_in_forward_at_2303
2025-08-14T22:07:29.4666667Z     prediction_scores = self.cls(sequence_output)
2025-08-14T22:07:29.4667116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1682, in forward
2025-08-14T22:07:29.4667579Z     prediction_scores = self.predictions(sequence_output)
2025-08-14T22:07:29.4668050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1670, in forward
2025-08-14T22:07:29.4668490Z     hidden_states = self.transform(hidden_states)
2025-08-14T22:07:29.4668923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1645, in forward
2025-08-14T22:07:29.4669367Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:07:29.4669527Z 
2025-08-14T22:07:29.4669641Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:29.4670164Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2318, in torch_dynamo_resume_in_forward_at_2303
2025-08-14T22:07:29.4670665Z     prediction_scores = self.cls(sequence_output)
2025-08-14T22:07:29.4671106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1682, in forward
2025-08-14T22:07:29.4671565Z     prediction_scores = self.predictions(sequence_output)
2025-08-14T22:07:29.4672027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1671, in forward
2025-08-14T22:07:29.4672512Z     hidden_states = self.decoder(hidden_states)
2025-08-14T22:07:29.4672682Z 
2025-08-14T22:07:31.9064013Z Compilation time (from dynamo_timed): 44.094626315
2025-08-14T22:07:31.9436716Z pass
2025-08-14T22:07:31.9437415Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:07:31.9442154Z TIMING: gc:0.02696 entire_frame_compile:44.09463 _recursive_pre_grad_passes:0.02065 _recursive_joint_graph_passes:0.30235 _recursive_post_grad_passes:0.10226 async_compile.wait:6.23094 code_gen:12.88291 inductor_compile:14.40766 backend_compile:18.25834 total_wall_time:44.09463
2025-08-14T22:07:31.9443745Z STATS: call_* op count: 378 | FakeTensorMode.__torch_dispatch__:9730 | ProxyTorchDispatchMode.__torch_dispatch__:2603 | FakeTensor.__torch_dispatch__:2763 | attempt fast:48 | slow both tensors nontrivially broadcast:4 | fast is_contiguous:44
2025-08-14T22:07:31.9444498Z Dynamo produced 29 graphs covering 378 ops with 25 graph breaks (2 unique)
2025-08-14T22:07:36.8252454Z 
2025-08-14T22:07:37.5210045Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:07:37.5210950Z 
2025-08-14T22:07:37.5248713Z config.json:   0% 0.00/483 [00:00<?, ?B/s]
2025-08-14T22:07:37.5249306Z config.json: 100% 483/483 [00:00<00:00, 108kB/s]
2025-08-14T22:07:39.4638997Z 
2025-08-14T22:07:39.4639884Z loading model: 0it [00:02, ?it/s]
2025-08-14T22:07:39.4650780Z cpu  eval  hf_DistilBert                      
2025-08-14T22:07:40.3822147Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:07:40.7782624Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:07:41.1813085Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:07:50.9206235Z cudagraph partition due to non gpu ops
2025-08-14T22:07:50.9206570Z cudagraph partition due to non gpu ops
2025-08-14T22:07:50.9206813Z cudagraph partition due to non gpu ops
2025-08-14T22:07:50.9207068Z cudagraph partition due to non gpu ops
2025-08-14T22:07:50.9207305Z cudagraph partition due to non gpu ops
2025-08-14T22:07:50.9207532Z cudagraph partition due to non gpu ops
2025-08-14T22:07:50.9207807Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9208219Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9208585Z     return mod(**inputs)
2025-08-14T22:07:50.9209047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9209503Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9209970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9210690Z     return self.transformer(
2025-08-14T22:07:50.9211145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9211600Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9211998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9212415Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9212857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9213300Z     sa_output = self.attention(
2025-08-14T22:07:50.9213725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 390, in forward
2025-08-14T22:07:50.9214218Z     q = shape(self.q_lin(query))  # (bs, n_heads, q_length, dim_per_head)
2025-08-14T22:07:50.9214425Z 
2025-08-14T22:07:50.9214542Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9215677Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9216113Z     return mod(**inputs)
2025-08-14T22:07:50.9216579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9217155Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9217689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9218229Z     return self.transformer(
2025-08-14T22:07:50.9218718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9219248Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9219731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9220279Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9220783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9221451Z     sa_output = self.attention(
2025-08-14T22:07:50.9222027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 391, in forward
2025-08-14T22:07:50.9222626Z     k = shape(self.k_lin(key))  # (bs, n_heads, k_length, dim_per_head)
2025-08-14T22:07:50.9222837Z 
2025-08-14T22:07:50.9223186Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9223686Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9224132Z     return mod(**inputs)
2025-08-14T22:07:50.9224692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9236164Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9236797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9237280Z     return self.transformer(
2025-08-14T22:07:50.9237735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9238184Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9238564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9238962Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9239418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9239872Z     sa_output = self.attention(
2025-08-14T22:07:50.9240296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 392, in forward
2025-08-14T22:07:50.9240801Z     v = shape(self.v_lin(value))  # (bs, n_heads, k_length, dim_per_head)
2025-08-14T22:07:50.9241010Z 
2025-08-14T22:07:50.9241103Z cudagraph partition due to non gpu ops
2025-08-14T22:07:50.9241375Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9241767Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9242125Z     return mod(**inputs)
2025-08-14T22:07:50.9242548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9242983Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9243427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9243873Z     return self.transformer(
2025-08-14T22:07:50.9244425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9244869Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9245252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9245666Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9246124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9246586Z     sa_output = self.attention(
2025-08-14T22:07:50.9247034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-14T22:07:50.9247571Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:07:50.9247780Z 
2025-08-14T22:07:50.9247898Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9248302Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9248703Z     return mod(**inputs)
2025-08-14T22:07:50.9249159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9249600Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9250131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9250633Z     return self.transformer(
2025-08-14T22:07:50.9251074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9251543Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9251969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9252356Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9252794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9253230Z     sa_output = self.attention(
2025-08-14T22:07:50.9253653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 412, in forward
2025-08-14T22:07:50.9254084Z     attn_output = self.out_lin(attn_output)
2025-08-14T22:07:50.9254240Z 
2025-08-14T22:07:50.9254351Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9254733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9255076Z     return mod(**inputs)
2025-08-14T22:07:50.9255483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9255922Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9256358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9256796Z     return self.transformer(
2025-08-14T22:07:50.9257213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9257647Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9258017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9258395Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9258896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:07:50.9259386Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:07:50.9259904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:07:50.9260501Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:07:50.9261069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:07:50.9261497Z     return forward_fn(*input_tensors)
2025-08-14T22:07:50.9261942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 431, in ff_chunk
2025-08-14T22:07:50.9262750Z     x = self.lin1(input)
2025-08-14T22:07:50.9262880Z 
2025-08-14T22:07:50.9262994Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9263392Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9263739Z     return mod(**inputs)
2025-08-14T22:07:50.9264161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9264609Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9265882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9266314Z     return self.transformer(
2025-08-14T22:07:50.9266741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9267179Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9267546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9267935Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9268427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:07:50.9268913Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:07:50.9269389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:07:50.9269971Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:07:50.9270533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:07:50.9270960Z     return forward_fn(*input_tensors)
2025-08-14T22:07:50.9271399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-14T22:07:50.9271831Z     x = self.activation(x)
2025-08-14T22:07:50.9272177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:07:50.9272544Z     return self.act(input)
2025-08-14T22:07:50.9272660Z 
2025-08-14T22:07:50.9272772Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9273167Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9273520Z     return mod(**inputs)
2025-08-14T22:07:50.9273932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9274375Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9274816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9275256Z     return self.transformer(
2025-08-14T22:07:50.9275676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9276124Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9276500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9276928Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9277375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:07:50.9277853Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:07:50.9278329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:07:50.9278887Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:07:50.9279425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:07:50.9279849Z     return forward_fn(*input_tensors)
2025-08-14T22:07:50.9280292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 433, in ff_chunk
2025-08-14T22:07:50.9280718Z     x = self.lin2(x)
2025-08-14T22:07:50.9280835Z 
2025-08-14T22:07:50.9280976Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9281382Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9281723Z     return mod(**inputs)
2025-08-14T22:07:50.9282136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9282576Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9283014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9283442Z     return self.transformer(
2025-08-14T22:07:50.9283891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9284328Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9284698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9285080Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9285524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9285959Z     sa_output = self.attention(
2025-08-14T22:07:50.9286377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 390, in forward
2025-08-14T22:07:50.9286875Z     q = shape(self.q_lin(query))  # (bs, n_heads, q_length, dim_per_head)
2025-08-14T22:07:50.9287075Z 
2025-08-14T22:07:50.9287185Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9287571Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9287911Z     return mod(**inputs)
2025-08-14T22:07:50.9288326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9288767Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9289194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9289632Z     return self.transformer(
2025-08-14T22:07:50.9290152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9290623Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9291009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9291401Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9291853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9292327Z     sa_output = self.attention(
2025-08-14T22:07:50.9292753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 391, in forward
2025-08-14T22:07:50.9293244Z     k = shape(self.k_lin(key))  # (bs, n_heads, k_length, dim_per_head)
2025-08-14T22:07:50.9293433Z 
2025-08-14T22:07:50.9293551Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9293926Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9294269Z     return mod(**inputs)
2025-08-14T22:07:50.9294685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9295130Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9295557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9296001Z     return self.transformer(
2025-08-14T22:07:50.9296479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9296924Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9297288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9297678Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9298125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9298559Z     sa_output = self.attention(
2025-08-14T22:07:50.9298990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 392, in forward
2025-08-14T22:07:50.9299533Z     v = shape(self.v_lin(value))  # (bs, n_heads, k_length, dim_per_head)
2025-08-14T22:07:50.9299728Z 
2025-08-14T22:07:50.9299826Z cudagraph partition due to non gpu ops
2025-08-14T22:07:50.9300082Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9300469Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9300819Z     return mod(**inputs)
2025-08-14T22:07:50.9301229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9301674Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9302115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9302556Z     return self.transformer(
2025-08-14T22:07:50.9302976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9303420Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9303796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9304183Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9304621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9305060Z     sa_output = self.attention(
2025-08-14T22:07:50.9305483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-14T22:07:50.9305976Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:07:50.9306184Z 
2025-08-14T22:07:50.9306294Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9306683Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9307028Z     return mod(**inputs)
2025-08-14T22:07:50.9307463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9307907Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9308344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9308780Z     return self.transformer(
2025-08-14T22:07:50.9309193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9309630Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9309999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9310381Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9310824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9311257Z     sa_output = self.attention(
2025-08-14T22:07:50.9311727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 412, in forward
2025-08-14T22:07:50.9312174Z     attn_output = self.out_lin(attn_output)
2025-08-14T22:07:50.9312328Z 
2025-08-14T22:07:50.9312437Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9312817Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9313153Z     return mod(**inputs)
2025-08-14T22:07:50.9313567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9314046Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9314483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9315000Z     return self.transformer(
2025-08-14T22:07:50.9315423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9315861Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9316230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9316607Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9317051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:07:50.9317605Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:07:50.9318049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:07:50.9318609Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:07:50.9319166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:07:50.9319579Z     return forward_fn(*input_tensors)
2025-08-14T22:07:50.9319996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 431, in ff_chunk
2025-08-14T22:07:50.9320412Z     x = self.lin1(input)
2025-08-14T22:07:50.9320525Z 
2025-08-14T22:07:50.9320626Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9320996Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9321321Z     return mod(**inputs)
2025-08-14T22:07:50.9321704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9322126Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9322564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9322983Z     return self.transformer(
2025-08-14T22:07:50.9323402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9323845Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9324218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9324605Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9325042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:07:50.9325522Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:07:50.9326002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:07:50.9326574Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:07:50.9327167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:07:50.9327599Z     return forward_fn(*input_tensors)
2025-08-14T22:07:50.9328059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-14T22:07:50.9328499Z     x = self.activation(x)
2025-08-14T22:07:50.9328855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:07:50.9329222Z     return self.act(input)
2025-08-14T22:07:50.9329365Z 
2025-08-14T22:07:50.9329486Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9329878Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9330344Z     return mod(**inputs)
2025-08-14T22:07:50.9330777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9331231Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9331686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9332129Z     return self.transformer(
2025-08-14T22:07:50.9332560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9332995Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9333377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9333769Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9334213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:07:50.9334694Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:07:50.9335171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:07:50.9335741Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:07:50.9336286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:07:50.9336717Z     return forward_fn(*input_tensors)
2025-08-14T22:07:50.9337171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 433, in ff_chunk
2025-08-14T22:07:50.9337608Z     x = self.lin2(x)
2025-08-14T22:07:50.9337715Z 
2025-08-14T22:07:50.9337825Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9338241Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9338591Z     return mod(**inputs)
2025-08-14T22:07:50.9338994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9339432Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9339864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9340303Z     return self.transformer(
2025-08-14T22:07:50.9340718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9341158Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9341528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9341914Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9342394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9342833Z     sa_output = self.attention(
2025-08-14T22:07:50.9343259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 390, in forward
2025-08-14T22:07:50.9343746Z     q = shape(self.q_lin(query))  # (bs, n_heads, q_length, dim_per_head)
2025-08-14T22:07:50.9343948Z 
2025-08-14T22:07:50.9344057Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9344445Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9344818Z     return mod(**inputs)
2025-08-14T22:07:50.9345221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9345664Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9346103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9346543Z     return self.transformer(
2025-08-14T22:07:50.9346961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9347398Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9347768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9348147Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9348592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9349032Z     sa_output = self.attention(
2025-08-14T22:07:50.9349458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 391, in forward
2025-08-14T22:07:50.9349941Z     k = shape(self.k_lin(key))  # (bs, n_heads, k_length, dim_per_head)
2025-08-14T22:07:50.9350139Z 
2025-08-14T22:07:50.9350246Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9350629Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9350972Z     return mod(**inputs)
2025-08-14T22:07:50.9351375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9351812Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9352242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9352669Z     return self.transformer(
2025-08-14T22:07:50.9353122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9353564Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9353937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9354312Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9354758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9355196Z     sa_output = self.attention(
2025-08-14T22:07:50.9355614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 392, in forward
2025-08-14T22:07:50.9356107Z     v = shape(self.v_lin(value))  # (bs, n_heads, k_length, dim_per_head)
2025-08-14T22:07:50.9356303Z 
2025-08-14T22:07:50.9356391Z cudagraph partition due to non gpu ops
2025-08-14T22:07:50.9356651Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9357027Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9357400Z     return mod(**inputs)
2025-08-14T22:07:50.9357902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9358353Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9358787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9359224Z     return self.transformer(
2025-08-14T22:07:50.9359650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9360109Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9360484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9360875Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9361327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9361760Z     sa_output = self.attention(
2025-08-14T22:07:50.9362366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-14T22:07:50.9362873Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:07:50.9363070Z 
2025-08-14T22:07:50.9363192Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9363596Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9363967Z     return mod(**inputs)
2025-08-14T22:07:50.9364388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9364833Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9365286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9365741Z     return self.transformer(
2025-08-14T22:07:50.9366187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9366629Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9367017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9367421Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9367875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9368335Z     sa_output = self.attention(
2025-08-14T22:07:50.9368859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 412, in forward
2025-08-14T22:07:50.9369333Z     attn_output = self.out_lin(attn_output)
2025-08-14T22:07:50.9369485Z 
2025-08-14T22:07:50.9369600Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9369993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9370439Z     return mod(**inputs)
2025-08-14T22:07:50.9370864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9371334Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9371824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9372291Z     return self.transformer(
2025-08-14T22:07:50.9372732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9373232Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9373650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9374047Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9374495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:07:50.9374983Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:07:50.9375471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:07:50.9376113Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:07:50.9376690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:07:50.9377135Z     return forward_fn(*input_tensors)
2025-08-14T22:07:50.9377602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 431, in ff_chunk
2025-08-14T22:07:50.9378050Z     x = self.lin1(input)
2025-08-14T22:07:50.9378173Z 
2025-08-14T22:07:50.9378286Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9378682Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9379040Z     return mod(**inputs)
2025-08-14T22:07:50.9379460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9379923Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9380372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9380822Z     return self.transformer(
2025-08-14T22:07:50.9381272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9381736Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9382126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9382509Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9382964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:07:50.9383444Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:07:50.9383926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:07:50.9384524Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:07:50.9385113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:07:50.9385541Z     return forward_fn(*input_tensors)
2025-08-14T22:07:50.9385984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-14T22:07:50.9386412Z     x = self.activation(x)
2025-08-14T22:07:50.9386760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:07:50.9387124Z     return self.act(input)
2025-08-14T22:07:50.9387262Z 
2025-08-14T22:07:50.9387373Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9387760Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9388105Z     return mod(**inputs)
2025-08-14T22:07:50.9388519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9388977Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9389440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9389898Z     return self.transformer(
2025-08-14T22:07:50.9390342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9390787Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9391170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9391567Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9392051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:07:50.9392535Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:07:50.9393016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:07:50.9393602Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:07:50.9394148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:07:50.9394578Z     return forward_fn(*input_tensors)
2025-08-14T22:07:50.9395035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 433, in ff_chunk
2025-08-14T22:07:50.9395485Z     x = self.lin2(x)
2025-08-14T22:07:50.9395595Z 
2025-08-14T22:07:50.9395710Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9396108Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9396468Z     return mod(**inputs)
2025-08-14T22:07:50.9396893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9397353Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9397804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9398250Z     return self.transformer(
2025-08-14T22:07:50.9398669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9399113Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9399492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9399879Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9400359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9400817Z     sa_output = self.attention(
2025-08-14T22:07:50.9401255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 390, in forward
2025-08-14T22:07:50.9401753Z     q = shape(self.q_lin(query))  # (bs, n_heads, q_length, dim_per_head)
2025-08-14T22:07:50.9401960Z 
2025-08-14T22:07:50.9402075Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9402470Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9402844Z     return mod(**inputs)
2025-08-14T22:07:50.9403258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9403730Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9404179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9404653Z     return self.transformer(
2025-08-14T22:07:50.9405118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9405578Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9405961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9406357Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9406825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9407306Z     sa_output = self.attention(
2025-08-14T22:07:50.9407748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 391, in forward
2025-08-14T22:07:50.9408264Z     k = shape(self.k_lin(key))  # (bs, n_heads, k_length, dim_per_head)
2025-08-14T22:07:50.9408465Z 
2025-08-14T22:07:50.9408578Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9408970Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9409327Z     return mod(**inputs)
2025-08-14T22:07:50.9409755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9410315Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9410776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9411237Z     return self.transformer(
2025-08-14T22:07:50.9411678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9412131Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9412522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9412920Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9413387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9413854Z     sa_output = self.attention(
2025-08-14T22:07:50.9414299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 392, in forward
2025-08-14T22:07:50.9414823Z     v = shape(self.v_lin(value))  # (bs, n_heads, k_length, dim_per_head)
2025-08-14T22:07:50.9415028Z 
2025-08-14T22:07:50.9415121Z cudagraph partition due to non gpu ops
2025-08-14T22:07:50.9415388Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9415773Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9416161Z     return mod(**inputs)
2025-08-14T22:07:50.9416594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9417054Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9417511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9417976Z     return self.transformer(
2025-08-14T22:07:50.9418418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9418867Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9419254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9419654Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9420126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9420611Z     sa_output = self.attention(
2025-08-14T22:07:50.9421078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-14T22:07:50.9421592Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:07:50.9421796Z 
2025-08-14T22:07:50.9421909Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9422300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9422655Z     return mod(**inputs)
2025-08-14T22:07:50.9423082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9423553Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9424005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9424465Z     return self.transformer(
2025-08-14T22:07:50.9424879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9425319Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9425690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9426073Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9426506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9426938Z     sa_output = self.attention(
2025-08-14T22:07:50.9427359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 412, in forward
2025-08-14T22:07:50.9427803Z     attn_output = self.out_lin(attn_output)
2025-08-14T22:07:50.9427949Z 
2025-08-14T22:07:50.9428061Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9428440Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9428781Z     return mod(**inputs)
2025-08-14T22:07:50.9429180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9429619Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9430050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9430481Z     return self.transformer(
2025-08-14T22:07:50.9430894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9431328Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9431723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9432111Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9432547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:07:50.9433029Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:07:50.9433507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:07:50.9434072Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:07:50.9434624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:07:50.9435047Z     return forward_fn(*input_tensors)
2025-08-14T22:07:50.9435490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 431, in ff_chunk
2025-08-14T22:07:50.9435942Z     x = self.lin1(input)
2025-08-14T22:07:50.9436060Z 
2025-08-14T22:07:50.9436188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9436574Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9436918Z     return mod(**inputs)
2025-08-14T22:07:50.9437317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9437758Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9438193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9438644Z     return self.transformer(
2025-08-14T22:07:50.9439074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9439509Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9439875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9440253Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9440690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:07:50.9441186Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:07:50.9441672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:07:50.9442250Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:07:50.9442822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:07:50.9443243Z     return forward_fn(*input_tensors)
2025-08-14T22:07:50.9443687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-14T22:07:50.9444135Z     x = self.activation(x)
2025-08-14T22:07:50.9444495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:07:50.9444869Z     return self.act(input)
2025-08-14T22:07:50.9444989Z 
2025-08-14T22:07:50.9445104Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9445499Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9445860Z     return mod(**inputs)
2025-08-14T22:07:50.9446271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9446728Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9447197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9447663Z     return self.transformer(
2025-08-14T22:07:50.9448099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9448560Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9448950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9449350Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9449804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:07:50.9450390Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:07:50.9450892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:07:50.9451522Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:07:50.9452098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:07:50.9452541Z     return forward_fn(*input_tensors)
2025-08-14T22:07:50.9452997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 433, in ff_chunk
2025-08-14T22:07:50.9453434Z     x = self.lin2(x)
2025-08-14T22:07:50.9453551Z 
2025-08-14T22:07:50.9453665Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9454098Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9454461Z     return mod(**inputs)
2025-08-14T22:07:50.9454879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9455332Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9455778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9456218Z     return self.transformer(
2025-08-14T22:07:50.9456660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9457116Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9457496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9457890Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9458347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9458805Z     sa_output = self.attention(
2025-08-14T22:07:50.9459239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 390, in forward
2025-08-14T22:07:50.9459741Z     q = shape(self.q_lin(query))  # (bs, n_heads, q_length, dim_per_head)
2025-08-14T22:07:50.9459948Z 
2025-08-14T22:07:50.9460061Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9460454Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9460819Z     return mod(**inputs)
2025-08-14T22:07:50.9461244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9461702Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9462355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9462815Z     return self.transformer(
2025-08-14T22:07:50.9463330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9463789Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9464177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9464579Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9465039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9465500Z     sa_output = self.attention(
2025-08-14T22:07:50.9465930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 391, in forward
2025-08-14T22:07:50.9466442Z     k = shape(self.k_lin(key))  # (bs, n_heads, k_length, dim_per_head)
2025-08-14T22:07:50.9466642Z 
2025-08-14T22:07:50.9466758Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9467155Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9467534Z     return mod(**inputs)
2025-08-14T22:07:50.9468003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9468443Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9468868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9469299Z     return self.transformer(
2025-08-14T22:07:50.9469720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9470184Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9470546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9470935Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9471383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9471817Z     sa_output = self.attention(
2025-08-14T22:07:50.9472227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 392, in forward
2025-08-14T22:07:50.9472714Z     v = shape(self.v_lin(value))  # (bs, n_heads, k_length, dim_per_head)
2025-08-14T22:07:50.9472904Z 
2025-08-14T22:07:50.9473113Z cudagraph partition due to non gpu ops
2025-08-14T22:07:50.9473374Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9473757Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9474090Z     return mod(**inputs)
2025-08-14T22:07:50.9474502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9474941Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9475380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9475807Z     return self.transformer(
2025-08-14T22:07:50.9476229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9476670Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9477031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9477414Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9477855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9478286Z     sa_output = self.attention(
2025-08-14T22:07:50.9478744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-14T22:07:50.9479249Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:07:50.9479454Z 
2025-08-14T22:07:50.9479564Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9479942Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9480275Z     return mod(**inputs)
2025-08-14T22:07:50.9480685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9481121Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9481548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9481981Z     return self.transformer(
2025-08-14T22:07:50.9482404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9482886Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9483253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9483644Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9484089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9484529Z     sa_output = self.attention(
2025-08-14T22:07:50.9484948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 412, in forward
2025-08-14T22:07:50.9485427Z     attn_output = self.out_lin(attn_output)
2025-08-14T22:07:50.9485576Z 
2025-08-14T22:07:50.9485696Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9486073Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9486423Z     return mod(**inputs)
2025-08-14T22:07:50.9486841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9487285Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9487717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9488158Z     return self.transformer(
2025-08-14T22:07:50.9488582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9489017Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9489391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9489781Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9490293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:07:50.9490771Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:07:50.9491260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:07:50.9491866Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:07:50.9492426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:07:50.9492861Z     return forward_fn(*input_tensors)
2025-08-14T22:07:50.9493317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 431, in ff_chunk
2025-08-14T22:07:50.9493784Z     x = self.lin1(input)
2025-08-14T22:07:50.9493899Z 
2025-08-14T22:07:50.9494020Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9494402Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9494751Z     return mod(**inputs)
2025-08-14T22:07:50.9495164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9495598Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9496035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9496474Z     return self.transformer(
2025-08-14T22:07:50.9496899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9497334Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9497708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9498118Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9498573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:07:50.9499046Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:07:50.9499522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:07:50.9500089Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:07:50.9500652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:07:50.9501078Z     return forward_fn(*input_tensors)
2025-08-14T22:07:50.9501522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-14T22:07:50.9501967Z     x = self.activation(x)
2025-08-14T22:07:50.9502313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:07:50.9502677Z     return self.act(input)
2025-08-14T22:07:50.9502796Z 
2025-08-14T22:07:50.9502913Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9503290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9503634Z     return mod(**inputs)
2025-08-14T22:07:50.9504045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9504485Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9504914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9505352Z     return self.transformer(
2025-08-14T22:07:50.9505777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9506215Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9506579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9506970Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9507439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:07:50.9507904Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:07:50.9508377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:07:50.9508978Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:07:50.9509535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:07:50.9509953Z     return forward_fn(*input_tensors)
2025-08-14T22:07:50.9510398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 433, in ff_chunk
2025-08-14T22:07:50.9510833Z     x = self.lin2(x)
2025-08-14T22:07:50.9510938Z 
2025-08-14T22:07:50.9511056Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9511432Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9511790Z     return mod(**inputs)
2025-08-14T22:07:50.9512222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9512654Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9513095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9513588Z     return self.transformer(
2025-08-14T22:07:50.9514012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9514444Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9514817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9515207Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9515641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9516094Z     sa_output = self.attention(
2025-08-14T22:07:50.9516518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 390, in forward
2025-08-14T22:07:50.9517009Z     q = shape(self.q_lin(query))  # (bs, n_heads, q_length, dim_per_head)
2025-08-14T22:07:50.9517200Z 
2025-08-14T22:07:50.9517311Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9517688Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9518030Z     return mod(**inputs)
2025-08-14T22:07:50.9518448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9518893Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9519324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9519761Z     return self.transformer(
2025-08-14T22:07:50.9520177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9520612Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9520985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9521369Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9521803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9522242Z     sa_output = self.attention(
2025-08-14T22:07:50.9522670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 391, in forward
2025-08-14T22:07:50.9523157Z     k = shape(self.k_lin(key))  # (bs, n_heads, k_length, dim_per_head)
2025-08-14T22:07:50.9523346Z 
2025-08-14T22:07:50.9523455Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9523839Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9524214Z     return mod(**inputs)
2025-08-14T22:07:50.9524626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9525069Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9525502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9525940Z     return self.transformer(
2025-08-14T22:07:50.9526354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9526792Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9527164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9527545Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9527982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9528440Z     sa_output = self.attention(
2025-08-14T22:07:50.9528878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 392, in forward
2025-08-14T22:07:50.9529357Z     v = shape(self.v_lin(value))  # (bs, n_heads, k_length, dim_per_head)
2025-08-14T22:07:50.9529555Z 
2025-08-14T22:07:50.9529642Z cudagraph partition due to non gpu ops
2025-08-14T22:07:50.9529902Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9530403Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9530799Z     return mod(**inputs)
2025-08-14T22:07:50.9531226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9531684Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9532113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9532551Z     return self.transformer(
2025-08-14T22:07:50.9532971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9533406Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9533768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9534154Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9534596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9535007Z     sa_output = self.attention(
2025-08-14T22:07:50.9535399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-14T22:07:50.9535869Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:07:50.9536059Z 
2025-08-14T22:07:50.9536172Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9536519Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9536844Z     return mod(**inputs)
2025-08-14T22:07:50.9537253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9537689Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9538117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9538550Z     return self.transformer(
2025-08-14T22:07:50.9538993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9539423Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9539795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9540180Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9540620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:07:50.9541046Z     sa_output = self.attention(
2025-08-14T22:07:50.9541469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 412, in forward
2025-08-14T22:07:50.9541912Z     attn_output = self.out_lin(attn_output)
2025-08-14T22:07:50.9542061Z 
2025-08-14T22:07:50.9542179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9542554Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9542899Z     return mod(**inputs)
2025-08-14T22:07:50.9543309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9543789Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9544226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9544656Z     return self.transformer(
2025-08-14T22:07:50.9545074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9545499Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9545877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9546295Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9546739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:07:50.9547217Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:07:50.9547699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:07:50.9548272Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:07:50.9548824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:07:50.9549249Z     return forward_fn(*input_tensors)
2025-08-14T22:07:50.9549692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 431, in ff_chunk
2025-08-14T22:07:50.9550130Z     x = self.lin1(input)
2025-08-14T22:07:50.9550243Z 
2025-08-14T22:07:50.9550352Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9550741Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9551087Z     return mod(**inputs)
2025-08-14T22:07:50.9551505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9551938Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9552371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9552809Z     return self.transformer(
2025-08-14T22:07:50.9553223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9553663Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9554034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9554439Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9554882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:07:50.9555362Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:07:50.9555842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:07:50.9556415Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:07:50.9556963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:07:50.9557391Z     return forward_fn(*input_tensors)
2025-08-14T22:07:50.9557840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-14T22:07:50.9558274Z     x = self.activation(x)
2025-08-14T22:07:50.9558631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:07:50.9559031Z     return self.act(input)
2025-08-14T22:07:50.9559153Z 
2025-08-14T22:07:50.9559272Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9559646Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9559993Z     return mod(**inputs)
2025-08-14T22:07:50.9560408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:07:50.9560841Z     dlbrt_output = self.distilbert(
2025-08-14T22:07:50.9561306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:07:50.9561744Z     return self.transformer(
2025-08-14T22:07:50.9562348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:07:50.9562794Z     layer_outputs = layer_module(
2025-08-14T22:07:50.9563185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:07:50.9563597Z     return super().__call__(*args, **kwargs)
2025-08-14T22:07:50.9564044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:07:50.9564512Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:07:50.9564989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:07:50.9565572Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:07:50.9566133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:07:50.9566555Z     return forward_fn(*input_tensors)
2025-08-14T22:07:50.9567002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 433, in ff_chunk
2025-08-14T22:07:50.9567436Z     x = self.lin2(x)
2025-08-14T22:07:50.9567542Z 
2025-08-14T22:07:50.9567652Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9568034Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9568377Z     return mod(**inputs)
2025-08-14T22:07:50.9568792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 836, in forward
2025-08-14T22:07:50.9569316Z     prediction_logits = self.vocab_transform(hidden_states)  # (bs, seq_length, dim)
2025-08-14T22:07:50.9569557Z 
2025-08-14T22:07:50.9569732Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:50.9570193Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:07:50.9570559Z     return mod(**inputs)
2025-08-14T22:07:50.9570982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 839, in forward
2025-08-14T22:07:50.9571564Z     prediction_logits = self.vocab_projector(prediction_logits)  # (bs, seq_length, vocab_size)
2025-08-14T22:07:50.9571820Z 
2025-08-14T22:07:59.4250397Z Compilation time (from dynamo_timed): 16.557486058
2025-08-14T22:07:59.4507333Z pass
2025-08-14T22:07:59.4510492Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:07:59.4511401Z TIMING: _recursive_pre_grad_passes:0.00577 _recursive_joint_graph_passes:0.31646 _recursive_post_grad_passes:0.05273 async_compile.wait:0.66891 code_gen:7.51538 inductor_compile:9.36201 backend_compile:13.96225 gc:0.00049 entire_frame_compile:16.55749 total_wall_time:16.55749
2025-08-14T22:07:59.4512919Z STATS: call_* op count: 151 | FakeTensorMode.__torch_dispatch__:6747 | attempt fast:52 | fast is_contiguous:48 | slow no contiguity match:4 | FakeTensor.__torch_dispatch__:2427 | ProxyTorchDispatchMode.__torch_dispatch__:2297
2025-08-14T22:07:59.4515017Z Dynamo produced 1 graphs covering 151 ops with 0 graph breaks (0 unique)
2025-08-14T22:08:04.1038915Z 
2025-08-14T22:08:04.7783897Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:08:04.7786883Z 
2025-08-14T22:08:04.7829143Z config.json:   0% 0.00/665 [00:00<?, ?B/s]
2025-08-14T22:08:04.7829443Z config.json: 100% 665/665 [00:00<00:00, 142kB/s]
2025-08-14T22:08:08.5524746Z 
2025-08-14T22:08:08.5525518Z loading model: 0it [00:04, ?it/s]
2025-08-14T22:08:08.5539310Z cpu  eval  hf_GPT2                            
2025-08-14T22:08:09.1211196Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:08:09.3632677Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:08:09.6107080Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:08:26.3234510Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3234836Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3235055Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3235270Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3235502Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3235706Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3235915Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3236135Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3236376Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3236594Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3236814Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3237031Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3237287Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3237740Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3238105Z     return mod(**inputs)
2025-08-14T22:08:26.3238554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3238979Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3239391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3239783Z     outputs = block(
2025-08-14T22:08:26.3240115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3240493Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3241245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3241654Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3242062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3242493Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3242914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3243306Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3243705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-14T22:08:26.3244240Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-14T22:08:26.3244743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3245169Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3245436Z 
2025-08-14T22:08:26.3245527Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3245764Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3246032Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3246261Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3246517Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3246908Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3247264Z     return mod(**inputs)
2025-08-14T22:08:26.3247668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3248205Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3248619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3249021Z     outputs = block(
2025-08-14T22:08:26.3249393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3249808Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3250441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3250874Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3251317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3251740Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3252162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3252565Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3252970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3253399Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3253885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:08:26.3254410Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:08:26.3254611Z 
2025-08-14T22:08:26.3254737Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3255125Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3255479Z     return mod(**inputs)
2025-08-14T22:08:26.3255880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3256333Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3256906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3257330Z     outputs = block(
2025-08-14T22:08:26.3257672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3258058Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3258459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3258852Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3259276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3259701Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3260113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3260509Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3260903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3261382Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3261915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:08:26.3262576Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:08:26.3262761Z 
2025-08-14T22:08:26.3262877Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3263264Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3263610Z     return mod(**inputs)
2025-08-14T22:08:26.3263988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3264464Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3264884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3265282Z     outputs = block(
2025-08-14T22:08:26.3265640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3266036Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3266465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3266854Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3267252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3267680Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3268094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3268486Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3268881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-14T22:08:26.3269313Z     attn_output = self.c_proj(attn_output)
2025-08-14T22:08:26.3269697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3270131Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3270327Z 
2025-08-14T22:08:26.3270441Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3270829Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3271172Z     return mod(**inputs)
2025-08-14T22:08:26.3271561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3271988Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3272434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3272826Z     outputs = block(
2025-08-14T22:08:26.3273169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3273559Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3273952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3274353Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3274756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3275193Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3275625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-14T22:08:26.3276040Z     hidden_states = self.c_fc(hidden_states)
2025-08-14T22:08:26.3276420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3276867Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3277085Z 
2025-08-14T22:08:26.3277201Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3277582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3277932Z     return mod(**inputs)
2025-08-14T22:08:26.3278322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3278757Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3279170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3279590Z     outputs = block(
2025-08-14T22:08:26.3279923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3280310Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3280716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3281110Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3281501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3281938Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3282371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:08:26.3282780Z     hidden_states = self.act(hidden_states)
2025-08-14T22:08:26.3283154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:08:26.3283647Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:08:26.3283898Z 
2025-08-14T22:08:26.3284017Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3284398Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3284745Z     return mod(**inputs)
2025-08-14T22:08:26.3285134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3285552Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3285965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3286361Z     outputs = block(
2025-08-14T22:08:26.3286709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3287091Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3287522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3287931Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3288319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3288755Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3289196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-14T22:08:26.3289613Z     hidden_states = self.c_proj(hidden_states)
2025-08-14T22:08:26.3289997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3290548Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3290741Z 
2025-08-14T22:08:26.3290867Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3291266Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3291644Z     return mod(**inputs)
2025-08-14T22:08:26.3292070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3292497Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3292906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3293300Z     outputs = block(
2025-08-14T22:08:26.3293625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3293990Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3294405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3294801Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3295196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 442, in forward
2025-08-14T22:08:26.3295643Z     hidden_states = residual + feed_forward_hidden_states
2025-08-14T22:08:26.3295811Z 
2025-08-14T22:08:26.3295915Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3296276Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3296601Z     return mod(**inputs)
2025-08-14T22:08:26.3296954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3297348Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3297741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3298104Z     outputs = block(
2025-08-14T22:08:26.3298426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3298789Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3299171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3299538Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3299911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3300310Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3300695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3301063Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3301430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-14T22:08:26.3302022Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-14T22:08:26.3302495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3302918Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3303102Z 
2025-08-14T22:08:26.3303190Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3303417Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3303630Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3303849Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3304094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3304460Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3304799Z     return mod(**inputs)
2025-08-14T22:08:26.3305176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3305593Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3306033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3306427Z     outputs = block(
2025-08-14T22:08:26.3306763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3307117Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3307499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3307871Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3308242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3308671Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3309083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3309484Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3309874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3310301Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3310778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:08:26.3311293Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:08:26.3311487Z 
2025-08-14T22:08:26.3311596Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3311980Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3312327Z     return mod(**inputs)
2025-08-14T22:08:26.3312711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3313125Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3313541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3313933Z     outputs = block(
2025-08-14T22:08:26.3314270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3314654Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3315056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3315450Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3315837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3316253Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3316683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3317078Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3317471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3317898Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3318372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:08:26.3318856Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:08:26.3319035Z 
2025-08-14T22:08:26.3319145Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3319534Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3319884Z     return mod(**inputs)
2025-08-14T22:08:26.3320269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3320709Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3321143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3321533Z     outputs = block(
2025-08-14T22:08:26.3321879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3322265Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3322670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3323059Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3323474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3323893Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3324303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3324705Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3325097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-14T22:08:26.3325512Z     attn_output = self.c_proj(attn_output)
2025-08-14T22:08:26.3325888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3326330Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3326523Z 
2025-08-14T22:08:26.3326634Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3327015Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3327350Z     return mod(**inputs)
2025-08-14T22:08:26.3327735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3328162Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3328574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3328972Z     outputs = block(
2025-08-14T22:08:26.3329317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3329703Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3330098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3330600Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3331017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3331471Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3331962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-14T22:08:26.3332386Z     hidden_states = self.c_fc(hidden_states)
2025-08-14T22:08:26.3332792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3333230Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3333430Z 
2025-08-14T22:08:26.3333547Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3333949Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3334311Z     return mod(**inputs)
2025-08-14T22:08:26.3334708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3335151Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3335589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3336004Z     outputs = block(
2025-08-14T22:08:26.3336378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3336785Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3337204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3337618Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3338023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3338491Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3338936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:08:26.3339364Z     hidden_states = self.act(hidden_states)
2025-08-14T22:08:26.3339755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:08:26.3340267Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:08:26.3340526Z 
2025-08-14T22:08:26.3340640Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3341035Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3341381Z     return mod(**inputs)
2025-08-14T22:08:26.3341752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3342151Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3342549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3342934Z     outputs = block(
2025-08-14T22:08:26.3343255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3343626Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3344010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3344394Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3344761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3345176Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3345585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-14T22:08:26.3345985Z     hidden_states = self.c_proj(hidden_states)
2025-08-14T22:08:26.3346366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3346772Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3346948Z 
2025-08-14T22:08:26.3347059Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3347414Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3347742Z     return mod(**inputs)
2025-08-14T22:08:26.3348108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3348509Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3348894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3349277Z     outputs = block(
2025-08-14T22:08:26.3349601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3349961Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3350366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3350773Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3351147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3351538Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3351933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3352308Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3352669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-14T22:08:26.3353184Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-14T22:08:26.3353653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3354053Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3354228Z 
2025-08-14T22:08:26.3354310Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3354527Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3354738Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3354947Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3355175Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3355544Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3355865Z     return mod(**inputs)
2025-08-14T22:08:26.3356217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3356609Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3356996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3357366Z     outputs = block(
2025-08-14T22:08:26.3357680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3358037Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3358398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3358748Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3359106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3359489Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3359859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3360230Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3360584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3360974Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3361393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:08:26.3361856Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:08:26.3362185Z 
2025-08-14T22:08:26.3362295Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3362657Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3362970Z     return mod(**inputs)
2025-08-14T22:08:26.3363331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3363723Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3364108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3364572Z     outputs = block(
2025-08-14T22:08:26.3364891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3365247Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3365615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3365988Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3366359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3366779Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3367156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3367534Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3367909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3368302Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3368746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:08:26.3369202Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:08:26.3369363Z 
2025-08-14T22:08:26.3369474Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3369831Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3370228Z     return mod(**inputs)
2025-08-14T22:08:26.3370629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3371063Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3371451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3371846Z     outputs = block(
2025-08-14T22:08:26.3372188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3372569Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3372978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3373380Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3373776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3374194Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3374642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3375043Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3375430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-14T22:08:26.3375843Z     attn_output = self.c_proj(attn_output)
2025-08-14T22:08:26.3376225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3376649Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3376835Z 
2025-08-14T22:08:26.3376946Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3377328Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3377674Z     return mod(**inputs)
2025-08-14T22:08:26.3378060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3378475Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3378905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3379319Z     outputs = block(
2025-08-14T22:08:26.3379656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3380038Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3380441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3380823Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3381176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3381597Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3381999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-14T22:08:26.3382376Z     hidden_states = self.c_fc(hidden_states)
2025-08-14T22:08:26.3382731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3383123Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3383290Z 
2025-08-14T22:08:26.3383399Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3383744Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3384062Z     return mod(**inputs)
2025-08-14T22:08:26.3384414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3384809Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3385184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3385551Z     outputs = block(
2025-08-14T22:08:26.3385867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3386218Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3386590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3386955Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3387317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3387709Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3388107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:08:26.3388490Z     hidden_states = self.act(hidden_states)
2025-08-14T22:08:26.3388847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:08:26.3389299Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:08:26.3389532Z 
2025-08-14T22:08:26.3389635Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3389989Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3390301Z     return mod(**inputs)
2025-08-14T22:08:26.3390656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3391044Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3391426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3391783Z     outputs = block(
2025-08-14T22:08:26.3392101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3392501Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3392880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3393250Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3393609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3394010Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3394403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-14T22:08:26.3394827Z     hidden_states = self.c_proj(hidden_states)
2025-08-14T22:08:26.3395181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3395560Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3395733Z 
2025-08-14T22:08:26.3395835Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3396183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3396494Z     return mod(**inputs)
2025-08-14T22:08:26.3396829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3397212Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3397590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3397946Z     outputs = block(
2025-08-14T22:08:26.3398246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3398591Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3398955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3399313Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3399669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 442, in forward
2025-08-14T22:08:26.3400071Z     hidden_states = residual + feed_forward_hidden_states
2025-08-14T22:08:26.3400223Z 
2025-08-14T22:08:26.3400328Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3400664Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3400974Z     return mod(**inputs)
2025-08-14T22:08:26.3401323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3401700Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3402091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3402458Z     outputs = block(
2025-08-14T22:08:26.3402777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3403129Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3403501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3403872Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3404233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3404624Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3405004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3405370Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3405729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-14T22:08:26.3406270Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-14T22:08:26.3406730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3407124Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3407293Z 
2025-08-14T22:08:26.3407374Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3407590Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3407797Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3407996Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3408245Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3408612Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3408936Z     return mod(**inputs)
2025-08-14T22:08:26.3409294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3409697Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3410091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3410577Z     outputs = block(
2025-08-14T22:08:26.3410944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3411350Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3411762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3412128Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3412500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3412942Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3413377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3413801Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3414218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3414677Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3415162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:08:26.3415696Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:08:26.3415901Z 
2025-08-14T22:08:26.3416021Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3416429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3416814Z     return mod(**inputs)
2025-08-14T22:08:26.3417218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3417665Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3418090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3418506Z     outputs = block(
2025-08-14T22:08:26.3418885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3419270Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3419629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3419989Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3420346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3420736Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3421122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3421483Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3421834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3422217Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3422645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:08:26.3423087Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:08:26.3423261Z 
2025-08-14T22:08:26.3423365Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3423703Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3424015Z     return mod(**inputs)
2025-08-14T22:08:26.3424367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3424742Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3425118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3425479Z     outputs = block(
2025-08-14T22:08:26.3425791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3426310Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3426680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3427045Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3427395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3427778Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3428158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3428517Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3428867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-14T22:08:26.3429244Z     attn_output = self.c_proj(attn_output)
2025-08-14T22:08:26.3429593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3429979Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3430143Z 
2025-08-14T22:08:26.3430246Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3430611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3430934Z     return mod(**inputs)
2025-08-14T22:08:26.3431276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3431659Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3432034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3432393Z     outputs = block(
2025-08-14T22:08:26.3432694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3433042Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3433407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3433759Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3434123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3434542Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3434964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-14T22:08:26.3435327Z     hidden_states = self.c_fc(hidden_states)
2025-08-14T22:08:26.3435669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3436289Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3436460Z 
2025-08-14T22:08:26.3436570Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3436951Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3437315Z     return mod(**inputs)
2025-08-14T22:08:26.3437676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3438056Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3438437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3438797Z     outputs = block(
2025-08-14T22:08:26.3439110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3439455Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3439824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3440189Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3440541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3440940Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3441337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:08:26.3441717Z     hidden_states = self.act(hidden_states)
2025-08-14T22:08:26.3442054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:08:26.3442494Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:08:26.3442726Z 
2025-08-14T22:08:26.3442828Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3443181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3443491Z     return mod(**inputs)
2025-08-14T22:08:26.3443844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3444228Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3444618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3444986Z     outputs = block(
2025-08-14T22:08:26.3445303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3445658Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3446019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3446391Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3446754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3447149Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3447549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-14T22:08:26.3447937Z     hidden_states = self.c_proj(hidden_states)
2025-08-14T22:08:26.3448315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3448718Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3448896Z 
2025-08-14T22:08:26.3448997Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3449342Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3449663Z     return mod(**inputs)
2025-08-14T22:08:26.3450013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3450498Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3450890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3451262Z     outputs = block(
2025-08-14T22:08:26.3451620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3452024Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3452438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3452847Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3453243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3453696Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3454112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3454524Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3454930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-14T22:08:26.3455484Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-14T22:08:26.3455989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3456427Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3456621Z 
2025-08-14T22:08:26.3456712Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3456950Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3457172Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3457399Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3457659Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3458044Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3458398Z     return mod(**inputs)
2025-08-14T22:08:26.3458828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3459266Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3459682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3460086Z     outputs = block(
2025-08-14T22:08:26.3460432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3460816Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3461231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3461609Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3462138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3462548Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3462947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3463385Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3463778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3464194Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3464647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:08:26.3465139Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:08:26.3465327Z 
2025-08-14T22:08:26.3465432Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3465856Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3466187Z     return mod(**inputs)
2025-08-14T22:08:26.3466558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3466959Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3467360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3467758Z     outputs = block(
2025-08-14T22:08:26.3468080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3468450Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3468839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3469219Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3469590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3469995Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3470389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3470766Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3471149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3471563Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3472017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:08:26.3472476Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:08:26.3472649Z 
2025-08-14T22:08:26.3472754Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3473125Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3473453Z     return mod(**inputs)
2025-08-14T22:08:26.3473859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3474241Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3474618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3474976Z     outputs = block(
2025-08-14T22:08:26.3475290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3475655Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3476015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3476362Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3476715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3477095Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3477478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3477850Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3478209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-14T22:08:26.3478587Z     attn_output = self.c_proj(attn_output)
2025-08-14T22:08:26.3478925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3479313Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3479483Z 
2025-08-14T22:08:26.3479611Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3479957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3480261Z     return mod(**inputs)
2025-08-14T22:08:26.3480613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3480999Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3481362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3481722Z     outputs = block(
2025-08-14T22:08:26.3482032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3482378Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3482736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3483095Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3483452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3483839Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3484236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-14T22:08:26.3484609Z     hidden_states = self.c_fc(hidden_states)
2025-08-14T22:08:26.3484949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3485326Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3485497Z 
2025-08-14T22:08:26.3485596Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3485939Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3486250Z     return mod(**inputs)
2025-08-14T22:08:26.3486589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3486993Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3487383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3487740Z     outputs = block(
2025-08-14T22:08:26.3488054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3488405Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3488779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3489143Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3489513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3489922Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3490380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:08:26.3490771Z     hidden_states = self.act(hidden_states)
2025-08-14T22:08:26.3491194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:08:26.3491687Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:08:26.3491920Z 
2025-08-14T22:08:26.3492026Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3492393Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3492725Z     return mod(**inputs)
2025-08-14T22:08:26.3493094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3493499Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3493882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3494246Z     outputs = block(
2025-08-14T22:08:26.3494558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3494911Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3495283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3495650Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3496008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3496407Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3496808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-14T22:08:26.3497189Z     hidden_states = self.c_proj(hidden_states)
2025-08-14T22:08:26.3497548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3497937Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3498106Z 
2025-08-14T22:08:26.3498221Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3498565Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3498884Z     return mod(**inputs)
2025-08-14T22:08:26.3499237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3499626Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3500002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3500367Z     outputs = block(
2025-08-14T22:08:26.3500705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3501059Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3501437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3501805Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3502164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 442, in forward
2025-08-14T22:08:26.3502565Z     hidden_states = residual + feed_forward_hidden_states
2025-08-14T22:08:26.3502730Z 
2025-08-14T22:08:26.3502832Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3503187Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3503491Z     return mod(**inputs)
2025-08-14T22:08:26.3503838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3504217Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3504608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3504975Z     outputs = block(
2025-08-14T22:08:26.3505288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3505634Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3505995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3506354Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3506710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3507124Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3507495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3507858Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3508215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-14T22:08:26.3508696Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-14T22:08:26.3509135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3509519Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3509682Z 
2025-08-14T22:08:26.3509768Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3509968Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3510172Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3510369Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3510594Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3510933Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3511247Z     return mod(**inputs)
2025-08-14T22:08:26.3511598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3511976Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3512353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3512711Z     outputs = block(
2025-08-14T22:08:26.3513025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3513371Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3513745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3514108Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3514480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3514869Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3515239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3515598Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3515945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3516335Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3516761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:08:26.3517226Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:08:26.3517405Z 
2025-08-14T22:08:26.3517509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3517866Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3518204Z     return mod(**inputs)
2025-08-14T22:08:26.3518566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3518951Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3519325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3519682Z     outputs = block(
2025-08-14T22:08:26.3519985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3520389Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3520752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3521106Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3521465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3521847Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3522223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3522575Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3522933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3523324Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3523752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:08:26.3524187Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:08:26.3524348Z 
2025-08-14T22:08:26.3524449Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3524796Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3525106Z     return mod(**inputs)
2025-08-14T22:08:26.3525455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3525837Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3526212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3526565Z     outputs = block(
2025-08-14T22:08:26.3526870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3527225Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3527620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3527992Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3528359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3528752Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3529126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3529493Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3529855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-14T22:08:26.3530312Z     attn_output = self.c_proj(attn_output)
2025-08-14T22:08:26.3530679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3531128Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3531321Z 
2025-08-14T22:08:26.3531447Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3531870Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3532244Z     return mod(**inputs)
2025-08-14T22:08:26.3532614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3533019Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3533406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3533781Z     outputs = block(
2025-08-14T22:08:26.3534101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3534478Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3534863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3535243Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3535614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3536010Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3536410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-14T22:08:26.3536793Z     hidden_states = self.c_fc(hidden_states)
2025-08-14T22:08:26.3537133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3537530Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3537712Z 
2025-08-14T22:08:26.3537817Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3538192Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3538503Z     return mod(**inputs)
2025-08-14T22:08:26.3538869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3539274Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3539666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3540035Z     outputs = block(
2025-08-14T22:08:26.3540358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3540724Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3541096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3541475Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3541861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3542266Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3542661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:08:26.3543041Z     hidden_states = self.act(hidden_states)
2025-08-14T22:08:26.3543384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:08:26.3543826Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:08:26.3544051Z 
2025-08-14T22:08:26.3544152Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3544512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3544827Z     return mod(**inputs)
2025-08-14T22:08:26.3545173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3545583Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3545987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3546352Z     outputs = block(
2025-08-14T22:08:26.3546661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3547020Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3547389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3547747Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3548134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3548534Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3548931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-14T22:08:26.3549316Z     hidden_states = self.c_proj(hidden_states)
2025-08-14T22:08:26.3549673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3550064Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3550232Z 
2025-08-14T22:08:26.3550344Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3550689Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3551005Z     return mod(**inputs)
2025-08-14T22:08:26.3551365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3551737Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3552109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3552463Z     outputs = block(
2025-08-14T22:08:26.3552767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3553106Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3553468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3553823Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3554169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3554547Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3554918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3555277Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3555649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-14T22:08:26.3556128Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-14T22:08:26.3556578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3556962Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3557127Z 
2025-08-14T22:08:26.3557205Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3557419Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3557620Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3557815Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3558226Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3558574Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3558887Z     return mod(**inputs)
2025-08-14T22:08:26.3559282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3559671Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3560050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3560408Z     outputs = block(
2025-08-14T22:08:26.3560725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3561086Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3561450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3561821Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3562318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3562711Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3563084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3563459Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3563829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3564235Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3564681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:08:26.3565171Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:08:26.3565357Z 
2025-08-14T22:08:26.3565471Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3565835Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3566159Z     return mod(**inputs)
2025-08-14T22:08:26.3566528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3566931Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3567318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3567696Z     outputs = block(
2025-08-14T22:08:26.3568020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3568390Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3568768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3569148Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3569598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3570014Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3570483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3570900Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3571304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3571746Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3572217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:08:26.3572706Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:08:26.3572877Z 
2025-08-14T22:08:26.3572993Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3573360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3573725Z     return mod(**inputs)
2025-08-14T22:08:26.3574121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3574518Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3574911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3575285Z     outputs = block(
2025-08-14T22:08:26.3575605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3575961Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3576374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3576749Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3577114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3577511Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3577901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3578275Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3578639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-14T22:08:26.3579033Z     attn_output = self.c_proj(attn_output)
2025-08-14T22:08:26.3579394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3579798Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3579974Z 
2025-08-14T22:08:26.3580079Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3580439Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3580769Z     return mod(**inputs)
2025-08-14T22:08:26.3581128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3581527Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3581922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3582298Z     outputs = block(
2025-08-14T22:08:26.3582615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3582983Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3583371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3583759Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3584154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3584576Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3584992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-14T22:08:26.3585400Z     hidden_states = self.c_fc(hidden_states)
2025-08-14T22:08:26.3585763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3586170Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3586344Z 
2025-08-14T22:08:26.3586458Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3586817Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3587145Z     return mod(**inputs)
2025-08-14T22:08:26.3587516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3587935Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3588351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3588726Z     outputs = block(
2025-08-14T22:08:26.3589047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3589403Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3589782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3590178Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3590542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3590959Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3591372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:08:26.3591769Z     hidden_states = self.act(hidden_states)
2025-08-14T22:08:26.3592116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:08:26.3592569Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:08:26.3592806Z 
2025-08-14T22:08:26.3592910Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3593274Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3593597Z     return mod(**inputs)
2025-08-14T22:08:26.3593958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3594357Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3594740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3595115Z     outputs = block(
2025-08-14T22:08:26.3595438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3595798Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3596169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3596545Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3596915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3597318Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3597750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-14T22:08:26.3598144Z     hidden_states = self.c_proj(hidden_states)
2025-08-14T22:08:26.3598513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3598907Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3599084Z 
2025-08-14T22:08:26.3599188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3599547Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3599870Z     return mod(**inputs)
2025-08-14T22:08:26.3600220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3600618Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3601007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3601375Z     outputs = block(
2025-08-14T22:08:26.3601719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3602102Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3602491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3602864Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3603240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 442, in forward
2025-08-14T22:08:26.3603656Z     hidden_states = residual + feed_forward_hidden_states
2025-08-14T22:08:26.3603817Z 
2025-08-14T22:08:26.3603950Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3604304Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3604629Z     return mod(**inputs)
2025-08-14T22:08:26.3604998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3605387Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3605774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3606145Z     outputs = block(
2025-08-14T22:08:26.3606465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3606822Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3607203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3607581Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3607942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3608346Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3608741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3609116Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3609494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-14T22:08:26.3610020Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-14T22:08:26.3610592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3611025Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3611214Z 
2025-08-14T22:08:26.3611301Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3611534Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3611771Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3611997Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3612240Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3612605Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3612924Z     return mod(**inputs)
2025-08-14T22:08:26.3613288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3613689Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3614083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3614451Z     outputs = block(
2025-08-14T22:08:26.3614777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3615142Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3615521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3615934Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3616325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3616730Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3617116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3617494Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3617875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3618286Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3618714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:08:26.3619187Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:08:26.3619367Z 
2025-08-14T22:08:26.3619477Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3619828Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3619902Z     return mod(**inputs)
2025-08-14T22:08:26.3620150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3620238Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3620481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3620546Z     outputs = block(
2025-08-14T22:08:26.3620770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3620849Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3621086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3621164Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3621411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3621503Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3621736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3621803Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3622051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3622146Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3622449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:08:26.3622559Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:08:26.3622564Z 
2025-08-14T22:08:26.3622667Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3622909Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3622975Z     return mod(**inputs)
2025-08-14T22:08:26.3623222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3623313Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3623555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3623627Z     outputs = block(
2025-08-14T22:08:26.3623844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3623922Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3624170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3624270Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3624522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3624605Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3624842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3624916Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3625158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-14T22:08:26.3625260Z     attn_output = self.c_proj(attn_output)
2025-08-14T22:08:26.3625483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3625600Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3625605Z 
2025-08-14T22:08:26.3625716Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3625912Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3625977Z     return mod(**inputs)
2025-08-14T22:08:26.3626229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3626310Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3626550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3626620Z     outputs = block(
2025-08-14T22:08:26.3626834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3626919Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3627157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3627224Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3627471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3627571Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3627820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-14T22:08:26.3627898Z     hidden_states = self.c_fc(hidden_states)
2025-08-14T22:08:26.3628110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3628232Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3628235Z 
2025-08-14T22:08:26.3628361Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3628555Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3628628Z     return mod(**inputs)
2025-08-14T22:08:26.3628871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3628957Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3629196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3629257Z     outputs = block(
2025-08-14T22:08:26.3629476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3629553Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3629787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3629862Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3630117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3630241Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3630488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:08:26.3630566Z     hidden_states = self.act(hidden_states)
2025-08-14T22:08:26.3630779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:08:26.3630954Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:08:26.3630977Z 
2025-08-14T22:08:26.3631086Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3631282Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3631347Z     return mod(**inputs)
2025-08-14T22:08:26.3631604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3631684Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3631923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3631993Z     outputs = block(
2025-08-14T22:08:26.3632208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3632290Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3632525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3632594Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3632848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3632946Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3633194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-14T22:08:26.3633278Z     hidden_states = self.c_proj(hidden_states)
2025-08-14T22:08:26.3633492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3633614Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3633617Z 
2025-08-14T22:08:26.3633717Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3633909Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3633983Z     return mod(**inputs)
2025-08-14T22:08:26.3634243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3634332Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3634574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3634635Z     outputs = block(
2025-08-14T22:08:26.3634856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3634932Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3635173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3635240Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3635479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3635572Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3635810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3635895Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3636158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-14T22:08:26.3636341Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-14T22:08:26.3636564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3636676Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3636680Z 
2025-08-14T22:08:26.3636759Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3636866Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3636941Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3637014Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3637124Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3637320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3637393Z     return mod(**inputs)
2025-08-14T22:08:26.3637637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3637718Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3637968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3638030Z     outputs = block(
2025-08-14T22:08:26.3638245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3638330Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3638564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3638639Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3638883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3638968Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3639212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3639278Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3639534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3639625Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3639902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:08:26.3640034Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:08:26.3640037Z 
2025-08-14T22:08:26.3640162Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3640354Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3640428Z     return mod(**inputs)
2025-08-14T22:08:26.3640675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3640763Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3641004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3641065Z     outputs = block(
2025-08-14T22:08:26.3641287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3641365Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3641598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3641690Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3641948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3642042Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3642275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3642342Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3642588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3642679Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3642989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:08:26.3643096Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:08:26.3643101Z 
2025-08-14T22:08:26.3643201Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3643400Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3643464Z     return mod(**inputs)
2025-08-14T22:08:26.3643708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3643796Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3644036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3644104Z     outputs = block(
2025-08-14T22:08:26.3644319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3644398Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3644640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3644709Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3644960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3645043Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3645276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3645349Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3645590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-14T22:08:26.3645669Z     attn_output = self.c_proj(attn_output)
2025-08-14T22:08:26.3645892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3646028Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3646031Z 
2025-08-14T22:08:26.3646140Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3646328Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3646392Z     return mod(**inputs)
2025-08-14T22:08:26.3646641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3646722Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3646959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3647031Z     outputs = block(
2025-08-14T22:08:26.3647252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3647339Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3647578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3647668Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3647946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3648050Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3648305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-14T22:08:26.3648386Z     hidden_states = self.c_fc(hidden_states)
2025-08-14T22:08:26.3648610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3648762Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3648766Z 
2025-08-14T22:08:26.3648867Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3649065Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3649140Z     return mod(**inputs)
2025-08-14T22:08:26.3649398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3649487Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3649736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3649799Z     outputs = block(
2025-08-14T22:08:26.3650030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3650108Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3650415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3650497Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3650746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3650860Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3651121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:08:26.3651207Z     hidden_states = self.act(hidden_states)
2025-08-14T22:08:26.3651445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:08:26.3651639Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:08:26.3651643Z 
2025-08-14T22:08:26.3651759Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3651970Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3652041Z     return mod(**inputs)
2025-08-14T22:08:26.3652341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3652434Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3652702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3652771Z     outputs = block(
2025-08-14T22:08:26.3653001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3653093Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3653346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3653422Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3653690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3653797Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3654081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-14T22:08:26.3654189Z     hidden_states = self.c_proj(hidden_states)
2025-08-14T22:08:26.3654419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3654553Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3654557Z 
2025-08-14T22:08:26.3654666Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3654873Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3654968Z     return mod(**inputs)
2025-08-14T22:08:26.3655239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3655329Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3655578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3655644Z     outputs = block(
2025-08-14T22:08:26.3655886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3655970Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3656233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3656306Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3656567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 442, in forward
2025-08-14T22:08:26.3656688Z     hidden_states = residual + feed_forward_hidden_states
2025-08-14T22:08:26.3656692Z 
2025-08-14T22:08:26.3656799Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3657009Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3657088Z     return mod(**inputs)
2025-08-14T22:08:26.3657357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3657450Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3657713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3657779Z     outputs = block(
2025-08-14T22:08:26.3658021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3658100Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3658357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3658437Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3658725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3658829Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3659086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3659158Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3659427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-14T22:08:26.3659626Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-14T22:08:26.3659864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3659988Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3659992Z 
2025-08-14T22:08:26.3660079Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3660174Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3660274Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3660385Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3660504Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3660716Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3660791Z     return mod(**inputs)
2025-08-14T22:08:26.3661058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3661146Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3661414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3661509Z     outputs = block(
2025-08-14T22:08:26.3661748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3661841Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3662283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3662371Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3662632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3662723Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3662983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3663058Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3663318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3663428Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3663737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:08:26.3663885Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:08:26.3663889Z 
2025-08-14T22:08:26.3663998Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3664205Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3664284Z     return mod(**inputs)
2025-08-14T22:08:26.3664550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3664646Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3664908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3664976Z     outputs = block(
2025-08-14T22:08:26.3665270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3665356Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3665609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3665692Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3665949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3666048Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3666301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3666374Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3666641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3666758Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3667054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:08:26.3667214Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:08:26.3667218Z 
2025-08-14T22:08:26.3667321Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3667554Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3667647Z     return mod(**inputs)
2025-08-14T22:08:26.3667923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3668024Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3668302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3668377Z     outputs = block(
2025-08-14T22:08:26.3668600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3668678Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3668928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3668997Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3669243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3669337Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3669576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3669654Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3669899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-14T22:08:26.3669981Z     attn_output = self.c_proj(attn_output)
2025-08-14T22:08:26.3670209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3670326Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3670330Z 
2025-08-14T22:08:26.3670439Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3670635Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3670702Z     return mod(**inputs)
2025-08-14T22:08:26.3670961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3671044Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3671290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3671359Z     outputs = block(
2025-08-14T22:08:26.3671595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3671685Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3671928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3671997Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3672252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3672354Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3672600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-14T22:08:26.3672689Z     hidden_states = self.c_fc(hidden_states)
2025-08-14T22:08:26.3672905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3673030Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3673050Z 
2025-08-14T22:08:26.3673152Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3673405Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3673481Z     return mod(**inputs)
2025-08-14T22:08:26.3673730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3673819Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3674063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3674143Z     outputs = block(
2025-08-14T22:08:26.3674369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3674446Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3674685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3674764Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3675009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3675116Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3675358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:08:26.3675439Z     hidden_states = self.act(hidden_states)
2025-08-14T22:08:26.3675657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:08:26.3675837Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:08:26.3675841Z 
2025-08-14T22:08:26.3675951Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3676150Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3676218Z     return mod(**inputs)
2025-08-14T22:08:26.3676476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3676559Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3676804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3676873Z     outputs = block(
2025-08-14T22:08:26.3677093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3677178Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3677418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3677504Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3677766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3677866Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3678120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-14T22:08:26.3678208Z     hidden_states = self.c_proj(hidden_states)
2025-08-14T22:08:26.3678426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3678551Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3678555Z 
2025-08-14T22:08:26.3678657Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3678856Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3678936Z     return mod(**inputs)
2025-08-14T22:08:26.3680068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3680178Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3680423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3680487Z     outputs = block(
2025-08-14T22:08:26.3680714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3680792Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3681032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3681129Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3681379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3681474Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3681722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3681792Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3682055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-14T22:08:26.3682237Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-14T22:08:26.3682454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3682569Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3682572Z 
2025-08-14T22:08:26.3682652Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3682736Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3682813Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3682889Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3682996Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3683190Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3683263Z     return mod(**inputs)
2025-08-14T22:08:26.3683506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3683587Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3683834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3683897Z     outputs = block(
2025-08-14T22:08:26.3684111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3684194Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3684456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3684535Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3684773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3684857Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3685096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3685165Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3685402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3685504Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3685784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:08:26.3685917Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:08:26.3685939Z 
2025-08-14T22:08:26.3686064Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3686253Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3686327Z     return mod(**inputs)
2025-08-14T22:08:26.3686571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3686658Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3686897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3686978Z     outputs = block(
2025-08-14T22:08:26.3687200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3687277Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3687514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3687590Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3687827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3687919Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3688162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3688231Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3688487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3688583Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3688885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:08:26.3688996Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:08:26.3689000Z 
2025-08-14T22:08:26.3689102Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3689305Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3689372Z     return mod(**inputs)
2025-08-14T22:08:26.3689623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3689713Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3689959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3690030Z     outputs = block(
2025-08-14T22:08:26.3690330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3690441Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3690709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3690785Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3691047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3691145Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3691403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3691485Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3691752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-14T22:08:26.3691836Z     attn_output = self.c_proj(attn_output)
2025-08-14T22:08:26.3692062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3692206Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3692209Z 
2025-08-14T22:08:26.3692334Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3692536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3692603Z     return mod(**inputs)
2025-08-14T22:08:26.3692872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3692955Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3693212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3693305Z     outputs = block(
2025-08-14T22:08:26.3693533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3693619Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3693871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3693940Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3694214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3694317Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3694585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-14T22:08:26.3694675Z     hidden_states = self.c_fc(hidden_states)
2025-08-14T22:08:26.3694897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3695021Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3695026Z 
2025-08-14T22:08:26.3695143Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3695339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3695412Z     return mod(**inputs)
2025-08-14T22:08:26.3695657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3695743Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3695994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3696055Z     outputs = block(
2025-08-14T22:08:26.3696283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3696360Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3696619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3696696Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3696938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3697043Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3697282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:08:26.3697357Z     hidden_states = self.act(hidden_states)
2025-08-14T22:08:26.3697571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:08:26.3697745Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:08:26.3697750Z 
2025-08-14T22:08:26.3697858Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3698049Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3698132Z     return mod(**inputs)
2025-08-14T22:08:26.3698398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3698479Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3698729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3698809Z     outputs = block(
2025-08-14T22:08:26.3699019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3699099Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3699341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3699407Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3699647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3699743Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3699982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-14T22:08:26.3700063Z     hidden_states = self.c_proj(hidden_states)
2025-08-14T22:08:26.3700268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3700386Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3700389Z 
2025-08-14T22:08:26.3700486Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3700676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3700746Z     return mod(**inputs)
2025-08-14T22:08:26.3700988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3701076Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3701310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3701371Z     outputs = block(
2025-08-14T22:08:26.3701586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3701660Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3701888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3701962Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3702195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 442, in forward
2025-08-14T22:08:26.3702307Z     hidden_states = residual + feed_forward_hidden_states
2025-08-14T22:08:26.3702331Z 
2025-08-14T22:08:26.3702432Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3702625Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3702698Z     return mod(**inputs)
2025-08-14T22:08:26.3702941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3703027Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3703266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3703326Z     outputs = block(
2025-08-14T22:08:26.3703557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3703631Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3703862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3703955Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3704204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3704297Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3704527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3704595Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3704845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-14T22:08:26.3705030Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-14T22:08:26.3705264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3705378Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3705383Z 
2025-08-14T22:08:26.3705460Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3705545Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3705619Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3705693Z cudagraph partition due to non gpu ops
2025-08-14T22:08:26.3705800Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3705989Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3706061Z     return mod(**inputs)
2025-08-14T22:08:26.3706304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3706387Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3706634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3706696Z     outputs = block(
2025-08-14T22:08:26.3706910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3706994Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3707226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3707298Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3707548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3707629Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3707861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3707928Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3708174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3708280Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3708564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:08:26.3708699Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:08:26.3708702Z 
2025-08-14T22:08:26.3708801Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3708992Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3709065Z     return mod(**inputs)
2025-08-14T22:08:26.3709312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3709400Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3709644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3709730Z     outputs = block(
2025-08-14T22:08:26.3709968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3710044Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3710278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3710354Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3710593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3710684Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3710932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3710999Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3711248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:08:26.3711343Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:08:26.3711628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:08:26.3711740Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:08:26.3711744Z 
2025-08-14T22:08:26.3711841Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3712039Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3712104Z     return mod(**inputs)
2025-08-14T22:08:26.3712349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3712440Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3712681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3712757Z     outputs = block(
2025-08-14T22:08:26.3712974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3713051Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3713291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3713359Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3713600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:08:26.3713693Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:08:26.3713929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3714003Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3714257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-14T22:08:26.3714338Z     attn_output = self.c_proj(attn_output)
2025-08-14T22:08:26.3714562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3714678Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3714681Z 
2025-08-14T22:08:26.3714787Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3714981Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3715045Z     return mod(**inputs)
2025-08-14T22:08:26.3715300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3715383Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3715627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3715714Z     outputs = block(
2025-08-14T22:08:26.3715943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3716030Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3716262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3716328Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3716574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3716673Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3716928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-14T22:08:26.3717014Z     hidden_states = self.c_fc(hidden_states)
2025-08-14T22:08:26.3717226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3717348Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3717352Z 
2025-08-14T22:08:26.3717449Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3717642Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3717713Z     return mod(**inputs)
2025-08-14T22:08:26.3717956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3718042Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3718278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3718340Z     outputs = block(
2025-08-14T22:08:26.3718560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3718637Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3718875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3718952Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3719197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3719304Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3719544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:08:26.3719626Z     hidden_states = self.act(hidden_states)
2025-08-14T22:08:26.3719841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:08:26.3720043Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:08:26.3720048Z 
2025-08-14T22:08:26.3720159Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3720359Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3720424Z     return mod(**inputs)
2025-08-14T22:08:26.3720682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:08:26.3720765Z     transformer_outputs = self.transformer(
2025-08-14T22:08:26.3721013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:08:26.3721087Z     outputs = block(
2025-08-14T22:08:26.3721309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:08:26.3721392Z     return super().__call__(*args, **kwargs)
2025-08-14T22:08:26.3721634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:08:26.3721737Z     return func(*args, **kwargs)
2025-08-14T22:08:26.3721992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:08:26.3722091Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:08:26.3722336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-14T22:08:26.3722429Z     hidden_states = self.c_proj(hidden_states)
2025-08-14T22:08:26.3722646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-14T22:08:26.3722790Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-14T22:08:26.3722794Z 
2025-08-14T22:08:26.3722897Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:26.3723096Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:08:26.3723172Z     return mod(**inputs)
2025-08-14T22:08:26.3723428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1207, in forward
2025-08-14T22:08:26.3723551Z     logits = self.lm_head(hidden_states[:, slice_indices, :])
2025-08-14T22:08:26.3723555Z 
2025-08-14T22:08:35.8530046Z Compilation time (from dynamo_timed): 25.028436105
2025-08-14T22:08:35.8646856Z pass
2025-08-14T22:08:35.8647306Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:08:35.8648150Z TIMING: _recursive_pre_grad_passes:0.01058 _recursive_joint_graph_passes:0.41887 _recursive_post_grad_passes:0.11018 async_compile.wait:0.67463 code_gen:9.42604 inductor_compile:12.17107 backend_compile:20.46616 gc:0.00064 entire_frame_compile:25.02844 total_wall_time:25.02844
2025-08-14T22:08:35.8649351Z STATS: call_* op count: 608 | FakeTensorMode.__torch_dispatch__:11555 | FakeTensor.__torch_dispatch__:4514 | attempt fast:48 | fast is_contiguous:48 | ProxyTorchDispatchMode.__torch_dispatch__:4097
2025-08-14T22:08:35.8649989Z Dynamo produced 1 graphs covering 608 ops with 0 graph breaks (0 unique)
2025-08-14T22:08:41.2323408Z 
2025-08-14T22:08:41.9802730Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:08:41.9803250Z 
2025-08-14T22:08:41.9844701Z config.json:   0% 0.00/666 [00:00<?, ?B/s]
2025-08-14T22:08:41.9845153Z config.json: 100% 666/666 [00:00<00:00, 145kB/s]
2025-08-14T22:08:58.4362779Z 
2025-08-14T22:08:58.4363285Z loading model: 0it [00:17, ?it/s]
2025-08-14T22:08:58.4399496Z cpu  eval  hf_GPT2_large                      
2025-08-14T22:08:58.5404331Z Compilation time (from dynamo_timed): 0
2025-08-14T22:08:58.5404667Z pass_due_to_skip
2025-08-14T22:08:58.5405005Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:08:58.5405651Z TIMING: total_wall_time:0
2025-08-14T22:08:58.5405881Z STATS: call_* op count: 0
2025-08-14T22:08:58.5406163Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-14T22:09:02.5300762Z 
2025-08-14T22:09:03.1885793Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:09:03.1886022Z 
2025-08-14T22:09:03.1928182Z config.json:   0% 0.00/694 [00:00<?, ?B/s]
2025-08-14T22:09:03.1928646Z config.json: 100% 694/694 [00:00<00:00, 148kB/s]
2025-08-14T22:09:06.6698677Z 
2025-08-14T22:09:06.6699662Z loading model: 0it [00:04, ?it/s]
2025-08-14T22:09:06.6721112Z cpu  eval  hf_Longformer                      
2025-08-14T22:09:10.1750334Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:09:11.3287962Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:09:12.4685075Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:09:13.9936149Z W0814 22:09:13.992142 23864 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break from `Tensor.item()`, consider setting:
2025-08-14T22:09:13.9937899Z W0814 22:09:13.992142 23864 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-14T22:09:13.9938424Z W0814 22:09:13.992142 23864 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] or:
2025-08-14T22:09:13.9938907Z W0814 22:09:13.992142 23864 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-14T22:09:13.9939465Z W0814 22:09:13.992142 23864 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] to include these operations in the captured graph.
2025-08-14T22:09:13.9940009Z W0814 22:09:13.992142 23864 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-14T22:09:13.9940472Z W0814 22:09:13.992142 23864 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break: from user code at:
2025-08-14T22:09:13.9941177Z W0814 22:09:13.992142 23864 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:09:13.9941809Z W0814 22:09:13.992142 23864 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     return mod(**inputs)
2025-08-14T22:09:13.9942571Z W0814 22:09:13.992142 23864 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1703, in forward
2025-08-14T22:09:13.9943318Z W0814 22:09:13.992142 23864 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     outputs = self.longformer(
2025-08-14T22:09:13.9944070Z W0814 22:09:13.992142 23864 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1600, in forward
2025-08-14T22:09:13.9944821Z W0814 22:09:13.992142 23864 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     encoder_outputs = self.encoder(
2025-08-14T22:09:13.9945612Z W0814 22:09:13.992142 23864 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1244, in forward
2025-08-14T22:09:13.9946402Z W0814 22:09:13.992142 23864 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     is_global_attn = is_index_global_attn.flatten().any().item()
2025-08-14T22:09:13.9946894Z W0814 22:09:13.992142 23864 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-14T22:09:13.9947267Z W0814 22:09:13.992142 23864 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-14T22:09:22.3816679Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:22.3820182Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1596, in forward
2025-08-14T22:09:22.3820773Z     embedding_output = self.embeddings(
2025-08-14T22:09:22.3827460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 410, in forward
2025-08-14T22:09:22.3829022Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx).to(input_ids.device)
2025-08-14T22:09:22.3829726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 381, in create_position_ids_from_input_ids
2025-08-14T22:09:22.3830272Z     mask = input_ids.ne(padding_idx).int()
2025-08-14T22:09:22.3830435Z 
2025-08-14T22:09:22.3830568Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:22.3831064Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1592, in forward
2025-08-14T22:09:22.3831667Z     extended_attention_mask: torch.Tensor = self.get_extended_attention_mask(attention_mask, input_shape)[
2025-08-14T22:09:22.3832652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_utils.py", line 1763, in get_extended_attention_mask
2025-08-14T22:09:22.3833187Z     extended_attention_mask = (1.0 - extended_attention_mask) * torch.finfo(dtype).min
2025-08-14T22:09:22.3833423Z 
2025-08-14T22:09:22.3833550Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:22.3834036Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1596, in forward
2025-08-14T22:09:22.3834501Z     embedding_output = self.embeddings(
2025-08-14T22:09:22.3834961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 410, in forward
2025-08-14T22:09:22.3835589Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx).to(input_ids.device)
2025-08-14T22:09:22.3837521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 382, in create_position_ids_from_input_ids
2025-08-14T22:09:22.3842816Z     incremental_indices = torch.cumsum(mask, dim=1).type_as(mask) * mask
2025-08-14T22:09:22.3845171Z 
2025-08-14T22:09:22.3848309Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:22.3849120Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1596, in forward
2025-08-14T22:09:22.3849637Z     embedding_output = self.embeddings(
2025-08-14T22:09:22.3850129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 410, in forward
2025-08-14T22:09:22.3850985Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx).to(input_ids.device)
2025-08-14T22:09:22.3851665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 382, in create_position_ids_from_input_ids
2025-08-14T22:09:22.3852271Z     incremental_indices = torch.cumsum(mask, dim=1).type_as(mask) * mask
2025-08-14T22:09:22.3852498Z 
2025-08-14T22:12:30.5419570Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5420597Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5421228Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5421653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5422074Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5422545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5423365Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5423814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5430221Z     self_outputs = self.self(
2025-08-14T22:12:30.5430865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:12:30.5431327Z     query_vectors = self.query(hidden_states)
2025-08-14T22:12:30.5436072Z 
2025-08-14T22:12:30.5438978Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5439745Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5444294Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5444934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5445490Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5446353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5446979Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5447441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5447901Z     self_outputs = self.self(
2025-08-14T22:12:30.5448347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.5448836Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5449448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5450087Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.5450537Z 
2025-08-14T22:12:30.5450673Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5451255Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5451798Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5452181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5452573Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5453016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5453492Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5453938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5454382Z     self_outputs = self.self(
2025-08-14T22:12:30.5454809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:12:30.5455256Z     key_vectors = self.key(hidden_states)
2025-08-14T22:12:30.5455403Z 
2025-08-14T22:12:30.5455525Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5456079Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5456595Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5456970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5467460Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5468044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5468494Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5468926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5469356Z     self_outputs = self.self(
2025-08-14T22:12:30.5469773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.5470225Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5470733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5471333Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:12:30.5471878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:12:30.5472408Z     hidden_states = hidden_states.view(
2025-08-14T22:12:30.5472559Z 
2025-08-14T22:12:30.5472727Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5473300Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5473795Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5474161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5474536Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5474975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5475482Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5475933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5476379Z     self_outputs = self.self(
2025-08-14T22:12:30.5476804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.5477284Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5477822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5478514Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.5478779Z 
2025-08-14T22:12:30.5478870Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5479117Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5479346Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5479560Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5479816Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5480379Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5480899Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5481316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5481709Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5482163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5482602Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5483055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5483496Z     self_outputs = self.self(
2025-08-14T22:12:30.5483961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-14T22:12:30.5484443Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5484990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5485572Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-14T22:12:30.5486139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-14T22:12:30.5486709Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-14T22:12:30.5486938Z 
2025-08-14T22:12:30.5487023Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5487283Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5487843Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5488433Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5488831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5489234Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5489706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5490261Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5490732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5491235Z     self_outputs = self.self(
2025-08-14T22:12:30.5491678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:12:30.5492126Z     attn_scores += diagonal_mask
2025-08-14T22:12:30.5492258Z 
2025-08-14T22:12:30.5492366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5492892Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5493381Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5493756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5494149Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5494602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5495036Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5495483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5495920Z     self_outputs = self.self(
2025-08-14T22:12:30.5496341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:12:30.5496790Z     attn_probs = nn.functional.softmax(
2025-08-14T22:12:30.5496937Z 
2025-08-14T22:12:30.5497048Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5497591Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5498096Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5498449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5498815Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5499264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5499682Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5500101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5500528Z     self_outputs = self.self(
2025-08-14T22:12:30.5500943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:12:30.5501395Z     value_vectors = self.value(hidden_states)
2025-08-14T22:12:30.5501552Z 
2025-08-14T22:12:30.5501663Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5502206Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5502721Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5503078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5503527Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5504043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5504528Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5505000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5505466Z     self_outputs = self.self(
2025-08-14T22:12:30.5505913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5506453Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5507032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5507687Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:12:30.5508192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.5508591Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.5508802Z 
2025-08-14T22:12:30.5508923Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5509503Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5510029Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5510431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5510846Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5511309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5511764Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5512206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5512643Z     self_outputs = self.self(
2025-08-14T22:12:30.5513058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5513544Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5514102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5514689Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:12:30.5515257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:12:30.5515761Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:12:30.5516131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.5516500Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.5516663Z 
2025-08-14T22:12:30.5516773Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5517322Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5517849Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5518233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5518625Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5519105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5519584Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5520041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5520479Z     self_outputs = self.self(
2025-08-14T22:12:30.5520905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5521389Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5521979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5522590Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.5522828Z 
2025-08-14T22:12:30.5522944Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5523509Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5524033Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5524418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5524815Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5525273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5525727Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5526183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5526635Z     self_outputs = self.self(
2025-08-14T22:12:30.5527069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5527563Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5528139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5528745Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.5528960Z 
2025-08-14T22:12:30.5529067Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5529624Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5530228Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5530657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5531053Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5531523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5531975Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5532420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.5532897Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.5533379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.5533838Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5533989Z 
2025-08-14T22:12:30.5534101Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5534674Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5535208Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5535570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5535941Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5536378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5536815Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5537239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.5537701Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.5538151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.5538576Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5538718Z 
2025-08-14T22:12:30.5538829Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5539332Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5539817Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5540168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5540520Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5540941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.5541369Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.5541770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.5542153Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.5542574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.5543032Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.5543482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-14T22:12:30.5543898Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5544044Z 
2025-08-14T22:12:30.5544151Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5544684Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5545166Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5545523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5545891Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5546310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.5546728Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.5547142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.5547545Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.5547969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.5548421Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.5548878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:12:30.5549388Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:30.5549769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:30.5550117Z     return self.act(input)
2025-08-14T22:12:30.5550238Z 
2025-08-14T22:12:30.5550343Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5550864Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5551363Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5551718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5552092Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5552520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.5552945Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.5553355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.5553760Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.5554177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-14T22:12:30.5554655Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-14T22:12:30.5555131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-14T22:12:30.5555561Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5555704Z 
2025-08-14T22:12:30.5555812Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5556343Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5556832Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5557188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5557548Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5557971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5558394Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5558818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5559230Z     self_outputs = self.self(
2025-08-14T22:12:30.5559671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:12:30.5560100Z     query_vectors = self.query(hidden_states)
2025-08-14T22:12:30.5560237Z 
2025-08-14T22:12:30.5560338Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5560852Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5561337Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5561684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5562278Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5562714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5563143Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5563565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5564047Z     self_outputs = self.self(
2025-08-14T22:12:30.5564451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.5564899Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5565396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5565993Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.5566354Z 
2025-08-14T22:12:30.5566505Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5567031Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5567509Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5567869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5568235Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5568660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5569078Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5569523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5569964Z     self_outputs = self.self(
2025-08-14T22:12:30.5570438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:12:30.5570883Z     key_vectors = self.key(hidden_states)
2025-08-14T22:12:30.5571034Z 
2025-08-14T22:12:30.5571624Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5572172Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5572684Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5573044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5573427Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5573864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5574303Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5574782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5575223Z     self_outputs = self.self(
2025-08-14T22:12:30.5575650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.5576110Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5576619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5577156Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:12:30.5577636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:12:30.5578037Z     hidden_states = hidden_states.view(
2025-08-14T22:12:30.5578173Z 
2025-08-14T22:12:30.5578275Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5578777Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5580075Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5580410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5580760Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5581169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5581568Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5581973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5582403Z     self_outputs = self.self(
2025-08-14T22:12:30.5582798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.5583226Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5583720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5584299Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.5584536Z 
2025-08-14T22:12:30.5584623Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5584829Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5585037Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5585241Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5585465Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5585964Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5586438Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5586783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5587135Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5587547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5587957Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5588357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5588796Z     self_outputs = self.self(
2025-08-14T22:12:30.5589190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-14T22:12:30.5589627Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5590134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5590668Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-14T22:12:30.5591186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-14T22:12:30.5591703Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-14T22:12:30.5591903Z 
2025-08-14T22:12:30.5591981Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5592214Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5592716Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5593195Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5593521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5593887Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5594305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5594699Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5595095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5595484Z     self_outputs = self.self(
2025-08-14T22:12:30.5595863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:12:30.5596277Z     attn_scores += diagonal_mask
2025-08-14T22:12:30.5596401Z 
2025-08-14T22:12:30.5596497Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5596992Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5597458Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5597782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5598130Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5598530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5598920Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5599321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5599719Z     self_outputs = self.self(
2025-08-14T22:12:30.5600108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:12:30.5600506Z     attn_probs = nn.functional.softmax(
2025-08-14T22:12:30.5600639Z 
2025-08-14T22:12:30.5600738Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5601233Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5601698Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5602022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5602366Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5602765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5603156Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5603598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5603995Z     self_outputs = self.self(
2025-08-14T22:12:30.5604381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:12:30.5604789Z     value_vectors = self.value(hidden_states)
2025-08-14T22:12:30.5604933Z 
2025-08-14T22:12:30.5605034Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5605530Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5606003Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5606336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5606686Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5607094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5607520Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5607947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5608352Z     self_outputs = self.self(
2025-08-14T22:12:30.5608742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5609182Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5609704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5610388Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:12:30.5610855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.5611224Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.5611396Z 
2025-08-14T22:12:30.5611525Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5612075Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5612577Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5612913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5613273Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5613691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5614109Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5614519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5614939Z     self_outputs = self.self(
2025-08-14T22:12:30.5615348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5615787Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5616299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5616834Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:12:30.5617334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:12:30.5617785Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:12:30.5618153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.5618501Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.5618649Z 
2025-08-14T22:12:30.5618756Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5619250Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5619726Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5620068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5620423Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5620826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5621237Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5621646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5622080Z     self_outputs = self.self(
2025-08-14T22:12:30.5622470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5622920Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5623429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5623970Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.5624204Z 
2025-08-14T22:12:30.5624304Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5624801Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5625274Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5625611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5625969Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5626384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5626795Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5627196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5627599Z     self_outputs = self.self(
2025-08-14T22:12:30.5627989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5628430Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5628941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5629484Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.5629683Z 
2025-08-14T22:12:30.5629793Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5630287Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5630760Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5631105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5631459Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5631883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5632299Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5632711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.5633161Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.5633602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.5634023Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5634159Z 
2025-08-14T22:12:30.5634266Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5634768Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5635230Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5635562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5635957Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5636359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5636765Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5637172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.5637613Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.5638044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.5638472Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5638603Z 
2025-08-14T22:12:30.5638708Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5639205Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5639666Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5640000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5640352Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5640748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.5641162Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.5641558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.5641941Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.5642337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.5642783Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.5643219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-14T22:12:30.5643630Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5643760Z 
2025-08-14T22:12:30.5643857Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5644351Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5644822Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5645150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5645528Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5645930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.5646333Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.5646711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.5647087Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.5647491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.5647934Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.5648366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:12:30.5648807Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:30.5649182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:30.5649536Z     return self.act(input)
2025-08-14T22:12:30.5649676Z 
2025-08-14T22:12:30.5649780Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5650384Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5650923Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5651302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5651690Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5652166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.5652619Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.5653042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.5653465Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.5653914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-14T22:12:30.5654405Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-14T22:12:30.5654898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-14T22:12:30.5655354Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5655502Z 
2025-08-14T22:12:30.5655623Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5656176Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5656695Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5657067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5657453Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5657889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5658331Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5658771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5659309Z     self_outputs = self.self(
2025-08-14T22:12:30.5659737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:12:30.5660193Z     query_vectors = self.query(hidden_states)
2025-08-14T22:12:30.5660360Z 
2025-08-14T22:12:30.5660511Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5661057Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5661537Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5661879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5662419Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5662832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5663246Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5663666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5664074Z     self_outputs = self.self(
2025-08-14T22:12:30.5664467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.5664988Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5665490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5666063Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.5666313Z 
2025-08-14T22:12:30.5666417Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5666928Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5667448Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5667788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5668151Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5668571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5668984Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5669391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5669802Z     self_outputs = self.self(
2025-08-14T22:12:30.5670199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:12:30.5670613Z     key_vectors = self.key(hidden_states)
2025-08-14T22:12:30.5670746Z 
2025-08-14T22:12:30.5670845Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5671355Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5671831Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5672172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5672527Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5672937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5673350Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5673739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5674138Z     self_outputs = self.self(
2025-08-14T22:12:30.5674523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.5674989Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5675461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5675981Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:12:30.5676451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:12:30.5676846Z     hidden_states = hidden_states.view(
2025-08-14T22:12:30.5676971Z 
2025-08-14T22:12:30.5677070Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5677555Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5678011Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5678333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5678701Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5679113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5679515Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5679900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5680298Z     self_outputs = self.self(
2025-08-14T22:12:30.5680693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.5681131Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5681602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5682158Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.5682391Z 
2025-08-14T22:12:30.5682477Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5682677Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5682880Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5683076Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5683296Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5683777Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5684246Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5684590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5684939Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5685350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5685761Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5686173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5686572Z     self_outputs = self.self(
2025-08-14T22:12:30.5686965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-14T22:12:30.5687405Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5687904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5688451Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-14T22:12:30.5688971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-14T22:12:30.5689521Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-14T22:12:30.5689730Z 
2025-08-14T22:12:30.5689817Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5690047Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5690712Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5691206Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5691557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5691938Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5692395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5692852Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5693296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5693699Z     self_outputs = self.self(
2025-08-14T22:12:30.5694088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:12:30.5694497Z     attn_scores += diagonal_mask
2025-08-14T22:12:30.5694617Z 
2025-08-14T22:12:30.5694720Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5695256Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5695740Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5696081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5696445Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5696865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5697282Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5697689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5698102Z     self_outputs = self.self(
2025-08-14T22:12:30.5698505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:12:30.5698924Z     attn_probs = nn.functional.softmax(
2025-08-14T22:12:30.5699060Z 
2025-08-14T22:12:30.5699164Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5699682Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5700168Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5700507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5700870Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5701290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5701710Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5702117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5702531Z     self_outputs = self.self(
2025-08-14T22:12:30.5702957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:12:30.5703374Z     value_vectors = self.value(hidden_states)
2025-08-14T22:12:30.5703510Z 
2025-08-14T22:12:30.5703612Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5704109Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5704575Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5704897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5705244Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5705646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5706054Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5706456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5706889Z     self_outputs = self.self(
2025-08-14T22:12:30.5707301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5707744Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5708244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5708804Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:12:30.5709229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.5709567Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.5709712Z 
2025-08-14T22:12:30.5709812Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5710310Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5710780Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5711107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5711464Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5711870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5712274Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5712669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5713069Z     self_outputs = self.self(
2025-08-14T22:12:30.5713452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5713896Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5714396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5714918Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:12:30.5715409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:12:30.5715856Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:12:30.5716178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.5716510Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.5716654Z 
2025-08-14T22:12:30.5716789Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5717285Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5717753Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5718089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5718438Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5718839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5719249Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5719656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5720054Z     self_outputs = self.self(
2025-08-14T22:12:30.5720436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5720914Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5721420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5721960Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.5722157Z 
2025-08-14T22:12:30.5722257Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5722756Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5723251Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5723578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5723932Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5724337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5724741Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5725132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5725533Z     self_outputs = self.self(
2025-08-14T22:12:30.5725919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5726356Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5726853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5727387Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.5727582Z 
2025-08-14T22:12:30.5727692Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5728199Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5728667Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5729013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5729371Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5729776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5730334Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5730782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.5731231Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.5731686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.5732119Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5732258Z 
2025-08-14T22:12:30.5732371Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5732894Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5733385Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5733734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5734093Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5734497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5734961Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5735374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.5735817Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.5736258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.5736681Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5736826Z 
2025-08-14T22:12:30.5736950Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5737456Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5737929Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5738273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5738628Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5739036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.5739449Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.5739844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.5740236Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.5740642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.5741088Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.5741531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-14T22:12:30.5741949Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5742083Z 
2025-08-14T22:12:30.5742183Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5742683Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5743159Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5743501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5743856Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5744258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.5744688Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.5745066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.5745454Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.5745848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.5746281Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.5746700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:12:30.5747130Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:30.5747493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:30.5747824Z     return self.act(input)
2025-08-14T22:12:30.5747929Z 
2025-08-14T22:12:30.5748026Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5748576Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5749042Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5749366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5749711Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5750115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.5750521Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.5750930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.5751324Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.5751746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-14T22:12:30.5752202Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-14T22:12:30.5752650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-14T22:12:30.5753071Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5753204Z 
2025-08-14T22:12:30.5753313Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5753806Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5754265Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5754603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5754954Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5755363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5755782Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5756197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5756603Z     self_outputs = self.self(
2025-08-14T22:12:30.5756992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:12:30.5757412Z     query_vectors = self.query(hidden_states)
2025-08-14T22:12:30.5757550Z 
2025-08-14T22:12:30.5757659Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5758194Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5758662Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5759010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5759363Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5759759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5760174Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5760586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5760993Z     self_outputs = self.self(
2025-08-14T22:12:30.5761382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.5761819Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5762531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5763229Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.5763481Z 
2025-08-14T22:12:30.5763586Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5764112Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5764609Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5764986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5765401Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5765852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5766302Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5766749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5767191Z     self_outputs = self.self(
2025-08-14T22:12:30.5767618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:12:30.5768057Z     key_vectors = self.key(hidden_states)
2025-08-14T22:12:30.5768192Z 
2025-08-14T22:12:30.5768295Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5768812Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5769329Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5769703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5770083Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5770589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5771037Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5771481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5771899Z     self_outputs = self.self(
2025-08-14T22:12:30.5772305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.5772742Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5773262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5773841Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:12:30.5774341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:12:30.5774761Z     hidden_states = hidden_states.view(
2025-08-14T22:12:30.5774893Z 
2025-08-14T22:12:30.5775007Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5775513Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5775988Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5776331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5776679Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5777093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5777520Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5777938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5778341Z     self_outputs = self.self(
2025-08-14T22:12:30.5778730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.5779160Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5779643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5780230Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.5780473Z 
2025-08-14T22:12:30.5780557Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5780773Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5780969Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5781172Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5781401Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5781895Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5782365Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5782699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5783043Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5783434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5783831Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5784228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5784612Z     self_outputs = self.self(
2025-08-14T22:12:30.5784991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-14T22:12:30.5785414Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5785890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5786396Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-14T22:12:30.5786898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-14T22:12:30.5787423Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-14T22:12:30.5787622Z 
2025-08-14T22:12:30.5787705Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5787925Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5788424Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5788887Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5789221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5789561Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5789960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5790359Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5790753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5791163Z     self_outputs = self.self(
2025-08-14T22:12:30.5791561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:12:30.5791952Z     attn_scores += diagonal_mask
2025-08-14T22:12:30.5792070Z 
2025-08-14T22:12:30.5792167Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5792651Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5793106Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5793457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5793796Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5794197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5794600Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5794990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5795383Z     self_outputs = self.self(
2025-08-14T22:12:30.5795764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:12:30.5796168Z     attn_probs = nn.functional.softmax(
2025-08-14T22:12:30.5796296Z 
2025-08-14T22:12:30.5796394Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5796890Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5797352Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5797687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5798027Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5798430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5798828Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5799219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5799615Z     self_outputs = self.self(
2025-08-14T22:12:30.5799996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:12:30.5800406Z     value_vectors = self.value(hidden_states)
2025-08-14T22:12:30.5800538Z 
2025-08-14T22:12:30.5800636Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5801155Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5801622Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5801954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5802290Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5802687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5803081Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5803473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5803863Z     self_outputs = self.self(
2025-08-14T22:12:30.5804243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5804701Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5805214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5805768Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:12:30.5806175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.5806519Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.5806666Z 
2025-08-14T22:12:30.5806767Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5807291Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5807767Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5808106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5808455Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5808865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5809275Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5809675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5810087Z     self_outputs = self.self(
2025-08-14T22:12:30.5810593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5811087Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5811649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5812204Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:12:30.5812714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:12:30.5813209Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:12:30.5813573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.5813922Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.5814074Z 
2025-08-14T22:12:30.5814185Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5814743Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5815225Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5815586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5815941Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5816343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5816784Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5817202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5817619Z     self_outputs = self.self(
2025-08-14T22:12:30.5818013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5818473Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5819007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5819626Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.5819829Z 
2025-08-14T22:12:30.5819931Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5820444Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5820926Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5821270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5821647Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5822068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5822493Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5822908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5823324Z     self_outputs = self.self(
2025-08-14T22:12:30.5823728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5824173Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5824678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5825233Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.5825439Z 
2025-08-14T22:12:30.5825540Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5826046Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5826515Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5826856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5827210Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5827621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5828023Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5828433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.5828879Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.5829342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.5829765Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5829909Z 
2025-08-14T22:12:30.5830010Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5830515Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5830985Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5831331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5831690Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5832102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5832507Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5832922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.5833402Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.5833844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.5834254Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5834396Z 
2025-08-14T22:12:30.5834494Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5834995Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5835482Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5835825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5836189Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5836585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.5836986Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.5837373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.5837758Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.5838157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.5838587Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.5839017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-14T22:12:30.5839422Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5839555Z 
2025-08-14T22:12:30.5839655Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5840151Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5840614Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5840947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5841286Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5841683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.5842092Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.5842479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.5842850Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.5843281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.5843715Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.5844133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:12:30.5844561Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:30.5844923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:30.5845251Z     return self.act(input)
2025-08-14T22:12:30.5845359Z 
2025-08-14T22:12:30.5845457Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5845948Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5846408Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5846757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5847111Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5847515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.5847922Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.5848309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.5848678Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.5849094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-14T22:12:30.5849551Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-14T22:12:30.5849997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-14T22:12:30.5850523Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5850682Z 
2025-08-14T22:12:30.5850793Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5851343Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5851846Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5852199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5852562Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5852996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5853416Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5853842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5854264Z     self_outputs = self.self(
2025-08-14T22:12:30.5854664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:12:30.5855094Z     query_vectors = self.query(hidden_states)
2025-08-14T22:12:30.5855240Z 
2025-08-14T22:12:30.5855343Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5855863Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5856346Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5856698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5857086Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5857515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5857934Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5858359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5858776Z     self_outputs = self.self(
2025-08-14T22:12:30.5859170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.5859619Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5860127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5860720Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.5861017Z 
2025-08-14T22:12:30.5861120Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5861661Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5862335Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5862698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5863062Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5863493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5863977Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5864401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5864809Z     self_outputs = self.self(
2025-08-14T22:12:30.5865218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:12:30.5865648Z     key_vectors = self.key(hidden_states)
2025-08-14T22:12:30.5865784Z 
2025-08-14T22:12:30.5865887Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5866407Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5866896Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5867251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5867611Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5868040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5868461Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5868885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5869287Z     self_outputs = self.self(
2025-08-14T22:12:30.5869677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.5870113Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5870597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5871140Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:12:30.5871666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:12:30.5872060Z     hidden_states = hidden_states.view(
2025-08-14T22:12:30.5872185Z 
2025-08-14T22:12:30.5872283Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5872775Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5873246Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5873585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5873934Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5874351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5874747Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5875142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5875571Z     self_outputs = self.self(
2025-08-14T22:12:30.5875978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.5876406Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5876878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5877441Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.5877683Z 
2025-08-14T22:12:30.5877761Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5877987Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5878183Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5878384Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5878608Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5879099Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5879552Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5879883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5880234Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5880621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5881016Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5881410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5881801Z     self_outputs = self.self(
2025-08-14T22:12:30.5882170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-14T22:12:30.5882285Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5882606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5882741Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-14T22:12:30.5883057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-14T22:12:30.5883196Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-14T22:12:30.5883201Z 
2025-08-14T22:12:30.5883285Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5883383Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5883736Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5883817Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5884031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5884116Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5884386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5884458Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5884735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5884805Z     self_outputs = self.self(
2025-08-14T22:12:30.5885082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:12:30.5885171Z     attn_scores += diagonal_mask
2025-08-14T22:12:30.5885174Z 
2025-08-14T22:12:30.5885291Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5885637Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5885706Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5885925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5886009Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5886287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5886400Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5886673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5886743Z     self_outputs = self.self(
2025-08-14T22:12:30.5887022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:12:30.5887099Z     attn_probs = nn.functional.softmax(
2025-08-14T22:12:30.5887102Z 
2025-08-14T22:12:30.5887209Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5887594Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5887663Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5887885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5887961Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5888245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5888317Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5888589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5888665Z     self_outputs = self.self(
2025-08-14T22:12:30.5888933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:12:30.5889014Z     value_vectors = self.value(hidden_states)
2025-08-14T22:12:30.5889018Z 
2025-08-14T22:12:30.5889123Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5889466Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5889543Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5889775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5889858Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5890219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5890303Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5890608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5890681Z     self_outputs = self.self(
2025-08-14T22:12:30.5890978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5891113Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5891486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5891702Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:12:30.5891901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.5891998Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.5892002Z 
2025-08-14T22:12:30.5892109Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5892457Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5892550Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5892779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5892856Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5893146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5893220Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5893497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5893573Z     self_outputs = self.self(
2025-08-14T22:12:30.5893857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5893981Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5894327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5894460Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:12:30.5894785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:12:30.5894877Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:12:30.5895065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.5895171Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.5895175Z 
2025-08-14T22:12:30.5895274Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5895627Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5895698Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5895915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5896020Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5896297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5896377Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5896650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5896719Z     self_outputs = self.self(
2025-08-14T22:12:30.5896997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5897108Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5897462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5897613Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.5897635Z 
2025-08-14T22:12:30.5897736Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5898112Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5898183Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5898405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5898481Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5898754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5898855Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5899129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5899199Z     self_outputs = self.self(
2025-08-14T22:12:30.5899483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5899593Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5899948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5900095Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.5900098Z 
2025-08-14T22:12:30.5900198Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5900556Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5900626Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5900852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5900931Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5901209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5901290Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5901566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.5901682Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.5901959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.5902043Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5902046Z 
2025-08-14T22:12:30.5902170Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5902521Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5902593Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5902822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5902898Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5903188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5903259Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5903526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.5903642Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.5903911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.5904015Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5904037Z 
2025-08-14T22:12:30.5904134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5904462Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5904538Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5904748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5904828Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5905125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.5905204Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.5905464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.5905540Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.5905811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.5905921Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.5906186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-14T22:12:30.5906271Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5906274Z 
2025-08-14T22:12:30.5906368Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5906703Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5906777Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5906988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5907069Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5907333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.5907409Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.5907662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.5907736Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.5908006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.5908115Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.5908400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:12:30.5908521Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:30.5908725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:30.5908793Z     return self.act(input)
2025-08-14T22:12:30.5908797Z 
2025-08-14T22:12:30.5908900Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5909229Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5909306Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5909515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5909591Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5909865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.5909973Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.5910229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.5910304Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.5910574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-14T22:12:30.5910697Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-14T22:12:30.5910987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-14T22:12:30.5911064Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5911075Z 
2025-08-14T22:12:30.5911174Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5911511Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5911588Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5911799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5911871Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5912148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5912221Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5912498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5912563Z     self_outputs = self.self(
2025-08-14T22:12:30.5912831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:12:30.5912919Z     query_vectors = self.query(hidden_states)
2025-08-14T22:12:30.5912923Z 
2025-08-14T22:12:30.5913019Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5913358Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5913425Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5913634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5913717Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5913981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5914071Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5914356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5914425Z     self_outputs = self.self(
2025-08-14T22:12:30.5914697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.5914793Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5915116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5915296Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.5915301Z 
2025-08-14T22:12:30.5915397Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5915740Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5915827Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5916053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5916137Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5916403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5916481Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5916747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5916830Z     self_outputs = self.self(
2025-08-14T22:12:30.5917107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:12:30.5917187Z     key_vectors = self.key(hidden_states)
2025-08-14T22:12:30.5917192Z 
2025-08-14T22:12:30.5917288Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5917632Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5917700Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5917920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5917995Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5918265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5918346Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5918619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5918692Z     self_outputs = self.self(
2025-08-14T22:12:30.5918966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.5919063Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5919395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5919543Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:12:30.5919820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:12:30.5919894Z     hidden_states = hidden_states.view(
2025-08-14T22:12:30.5919898Z 
2025-08-14T22:12:30.5919996Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5920356Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5920428Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5920639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5920724Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5920994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5921069Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5921342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5921409Z     self_outputs = self.self(
2025-08-14T22:12:30.5921685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.5921808Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5922152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5922329Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.5922333Z 
2025-08-14T22:12:30.5922410Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5922493Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5922565Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5922639Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5922764Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5923106Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5923185Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5923408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5923485Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5923765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5923837Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5924120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5924188Z     self_outputs = self.self(
2025-08-14T22:12:30.5924465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-14T22:12:30.5924580Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5924911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5925054Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-14T22:12:30.5925376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-14T22:12:30.5925520Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-14T22:12:30.5925524Z 
2025-08-14T22:12:30.5925608Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5925708Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5926051Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5926129Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5926363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5926451Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5926725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5926798Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5927082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5927151Z     self_outputs = self.self(
2025-08-14T22:12:30.5927441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:12:30.5927516Z     attn_scores += diagonal_mask
2025-08-14T22:12:30.5927519Z 
2025-08-14T22:12:30.5927621Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5927982Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5928086Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5928310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5928397Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5928678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5928759Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5929040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5929131Z     self_outputs = self.self(
2025-08-14T22:12:30.5929421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:12:30.5929505Z     attn_probs = nn.functional.softmax(
2025-08-14T22:12:30.5929508Z 
2025-08-14T22:12:30.5929619Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5929973Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5930044Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5930437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5930522Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5930809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5930895Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5931180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5931261Z     self_outputs = self.self(
2025-08-14T22:12:30.5931545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:12:30.5931629Z     value_vectors = self.value(hidden_states)
2025-08-14T22:12:30.5931632Z 
2025-08-14T22:12:30.5931744Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5932097Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5932178Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5932402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5932482Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5932797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5932875Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5933168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5933243Z     self_outputs = self.self(
2025-08-14T22:12:30.5933522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5933650Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5934007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5934182Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:12:30.5934389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.5934505Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.5934526Z 
2025-08-14T22:12:30.5934635Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5934985Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5935055Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5935286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5935363Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5935667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5935742Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5936023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5936103Z     self_outputs = self.self(
2025-08-14T22:12:30.5936382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5936508Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5936863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5936998Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:12:30.5937329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:12:30.5937421Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:12:30.5937617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.5937729Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.5937733Z 
2025-08-14T22:12:30.5937835Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5938197Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5938269Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5938502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5938586Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5938865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5938964Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5939238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5939309Z     self_outputs = self.self(
2025-08-14T22:12:30.5939587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5939697Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5940046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5940193Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.5940198Z 
2025-08-14T22:12:30.5940297Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5940646Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5940732Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5940979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5941057Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5941335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5941415Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5941692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5941777Z     self_outputs = self.self(
2025-08-14T22:12:30.5942057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5942169Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5942519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5942664Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.5942668Z 
2025-08-14T22:12:30.5942767Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5943112Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5943183Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5943404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5943481Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5943756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5943837Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5944110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.5944229Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.5944501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.5944582Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5944585Z 
2025-08-14T22:12:30.5944691Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5945035Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5945125Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5945348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5945428Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5945708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5945782Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5946052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.5946169Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.5946439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.5946530Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5946533Z 
2025-08-14T22:12:30.5946633Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5947011Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5947091Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5947306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5947388Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5947663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.5947745Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.5948025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.5948099Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.5948373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.5948493Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.5948760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-14T22:12:30.5948846Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5948849Z 
2025-08-14T22:12:30.5948948Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5949387Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5949475Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5949691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5949779Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5950054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.5950134Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.5950400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.5950475Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.5950752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.5950867Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.5951139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:12:30.5951256Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:30.5951482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:30.5951554Z     return self.act(input)
2025-08-14T22:12:30.5951559Z 
2025-08-14T22:12:30.5951669Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5952013Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5952092Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5952306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5952393Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5952671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.5952748Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.5953005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.5953116Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.5953385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-14T22:12:30.5953508Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-14T22:12:30.5953775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-14T22:12:30.5953853Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5953864Z 
2025-08-14T22:12:30.5953975Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5954307Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5954382Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5954591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5954664Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5954935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5955006Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5955276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5955342Z     self_outputs = self.self(
2025-08-14T22:12:30.5955610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:12:30.5955693Z     query_vectors = self.query(hidden_states)
2025-08-14T22:12:30.5955697Z 
2025-08-14T22:12:30.5955795Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5956134Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5956200Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5956409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5956491Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5956756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5956827Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5957103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5957167Z     self_outputs = self.self(
2025-08-14T22:12:30.5957457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.5957559Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5957886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5958068Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.5958072Z 
2025-08-14T22:12:30.5958168Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5958512Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5958581Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5958792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5958893Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5959180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5959260Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5959529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5959595Z     self_outputs = self.self(
2025-08-14T22:12:30.5959873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:12:30.5959969Z     key_vectors = self.key(hidden_states)
2025-08-14T22:12:30.5959973Z 
2025-08-14T22:12:30.5960072Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5960429Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5960500Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5960724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5960802Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5961073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5961154Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5961428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5961508Z     self_outputs = self.self(
2025-08-14T22:12:30.5961779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.5961878Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5962398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5962552Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:12:30.5962825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:12:30.5962914Z     hidden_states = hidden_states.view(
2025-08-14T22:12:30.5962917Z 
2025-08-14T22:12:30.5963016Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5963372Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5963447Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5963729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5963818Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5964102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5964181Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5964462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5964531Z     self_outputs = self.self(
2025-08-14T22:12:30.5964819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.5964921Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5965271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5965485Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.5965513Z 
2025-08-14T22:12:30.5965596Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5965686Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5965762Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5965840Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5965952Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5966302Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5966418Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5966641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5966721Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5967007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5967086Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5967371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5967441Z     self_outputs = self.self(
2025-08-14T22:12:30.5967719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-14T22:12:30.5967836Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.5968175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.5968319Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-14T22:12:30.5968650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-14T22:12:30.5968801Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-14T22:12:30.5968805Z 
2025-08-14T22:12:30.5968890Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.5968993Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5969344Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5969423Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5969646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5969731Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5970028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5970166Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5970469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5970538Z     self_outputs = self.self(
2025-08-14T22:12:30.5970817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:12:30.5970896Z     attn_scores += diagonal_mask
2025-08-14T22:12:30.5970899Z 
2025-08-14T22:12:30.5971001Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5971383Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5971458Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5971704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5971809Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5972112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5972195Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5972484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5972553Z     self_outputs = self.self(
2025-08-14T22:12:30.5972843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:12:30.5972941Z     attn_probs = nn.functional.softmax(
2025-08-14T22:12:30.5972944Z 
2025-08-14T22:12:30.5973058Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5973415Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5973489Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5973721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5973798Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5974081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5974163Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5974445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5974521Z     self_outputs = self.self(
2025-08-14T22:12:30.5974805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:12:30.5974891Z     value_vectors = self.value(hidden_states)
2025-08-14T22:12:30.5974895Z 
2025-08-14T22:12:30.5975006Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5975357Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5975435Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5975658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5975735Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5976027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5976102Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5976407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5976479Z     self_outputs = self.self(
2025-08-14T22:12:30.5976760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5976886Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5977242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5977419Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:12:30.5977624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.5977726Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.5977730Z 
2025-08-14T22:12:30.5977839Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5978231Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5978304Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5978535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5978612Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5978903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5978978Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5979281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5979359Z     self_outputs = self.self(
2025-08-14T22:12:30.5979644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5979764Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5980130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5980266Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:12:30.5980597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:12:30.5980689Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:12:30.5980886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.5980992Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.5980996Z 
2025-08-14T22:12:30.5981098Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5981472Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5981544Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5981768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5981855Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5982138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5982220Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5982505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5982575Z     self_outputs = self.self(
2025-08-14T22:12:30.5982882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5983002Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5983362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5983514Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.5983518Z 
2025-08-14T22:12:30.5983620Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5983982Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5984055Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5984281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5984388Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5984693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5984774Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5985048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5985116Z     self_outputs = self.self(
2025-08-14T22:12:30.5985394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.5985528Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.5985877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.5986026Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.5986030Z 
2025-08-14T22:12:30.5986133Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5986483Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5986553Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5986774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5986851Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5987126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5987208Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5987483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.5987595Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.5987879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.5987960Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5987963Z 
2025-08-14T22:12:30.5988067Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5988407Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5988478Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5988702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5988777Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5989094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5989171Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5989446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.5989560Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.5989833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.5989919Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5989922Z 
2025-08-14T22:12:30.5990021Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5990362Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5990441Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5990700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5990777Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5991056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.5991135Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.5991398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.5991474Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.5991772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.5991888Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.5992165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-14T22:12:30.5992253Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5992257Z 
2025-08-14T22:12:30.5992355Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5992701Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5992781Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5992996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5993081Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5993357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.5993437Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.5993703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.5993782Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.5994063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.5994177Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.5994452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:12:30.5994569Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:30.5994786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:30.5994856Z     return self.act(input)
2025-08-14T22:12:30.5994860Z 
2025-08-14T22:12:30.5994988Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5995335Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5995414Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5995628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5995704Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5995986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.5996064Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.5996319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.5996400Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.5996679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-14T22:12:30.5996842Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-14T22:12:30.5997123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-14T22:12:30.5997203Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.5997207Z 
2025-08-14T22:12:30.5997315Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5997671Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5997769Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5997993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.5998076Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.5998378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.5998453Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.5998742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.5998810Z     self_outputs = self.self(
2025-08-14T22:12:30.5999085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:12:30.5999173Z     query_vectors = self.query(hidden_states)
2025-08-14T22:12:30.5999178Z 
2025-08-14T22:12:30.5999277Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.5999629Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.5999707Z     layer_outputs = layer_module(
2025-08-14T22:12:30.5999935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6000021Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6000307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6000382Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6000671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6000740Z     self_outputs = self.self(
2025-08-14T22:12:30.6001034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.6001138Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.6001506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.6001706Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.6001710Z 
2025-08-14T22:12:30.6001812Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6002171Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6002241Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6002464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6002550Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6002836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6002929Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6003232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6003303Z     self_outputs = self.self(
2025-08-14T22:12:30.6003591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:12:30.6003669Z     key_vectors = self.key(hidden_states)
2025-08-14T22:12:30.6003673Z 
2025-08-14T22:12:30.6003774Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6004134Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6004226Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6004457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6004536Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6004819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6004902Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6005185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6005259Z     self_outputs = self.self(
2025-08-14T22:12:30.6005539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.6005644Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.6006001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.6006166Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:12:30.6006465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:12:30.6006553Z     hidden_states = hidden_states.view(
2025-08-14T22:12:30.6006556Z 
2025-08-14T22:12:30.6006665Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6007043Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6007116Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6007351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6007439Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6007758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6007845Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6008146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6008220Z     self_outputs = self.self(
2025-08-14T22:12:30.6008526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.6008632Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.6009005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.6009204Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.6009208Z 
2025-08-14T22:12:30.6009293Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6009407Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6009487Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6009583Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6009700Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6010077Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6010238Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6010476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6010560Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6010901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6010985Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6011285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6011370Z     self_outputs = self.self(
2025-08-14T22:12:30.6011667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-14T22:12:30.6011787Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.6012127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.6012272Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-14T22:12:30.6012611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-14T22:12:30.6012762Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-14T22:12:30.6012767Z 
2025-08-14T22:12:30.6012854Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6012956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6013311Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6013393Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6013615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6013700Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6013983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6014058Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6014371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6014443Z     self_outputs = self.self(
2025-08-14T22:12:30.6014726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:12:30.6014808Z     attn_scores += diagonal_mask
2025-08-14T22:12:30.6014811Z 
2025-08-14T22:12:30.6014912Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6015275Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6015344Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6015567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6015655Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6015942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6016057Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6016356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6016426Z     self_outputs = self.self(
2025-08-14T22:12:30.6016711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:12:30.6016790Z     attn_probs = nn.functional.softmax(
2025-08-14T22:12:30.6016793Z 
2025-08-14T22:12:30.6016900Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6017274Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6017345Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6017576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6017658Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6017947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6018028Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6018310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6018385Z     self_outputs = self.self(
2025-08-14T22:12:30.6018667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:12:30.6018752Z     value_vectors = self.value(hidden_states)
2025-08-14T22:12:30.6018755Z 
2025-08-14T22:12:30.6018864Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6019216Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6019300Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6019520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6019598Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6019890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6019966Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6020248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6020327Z     self_outputs = self.self(
2025-08-14T22:12:30.6020626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.6020754Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.6021109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.6021282Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:12:30.6021484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.6021583Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.6021587Z 
2025-08-14T22:12:30.6021694Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6022049Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6022120Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6022373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6022468Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6022762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6022836Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6023119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6023195Z     self_outputs = self.self(
2025-08-14T22:12:30.6023475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.6023608Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.6023971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.6024110Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:12:30.6024435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:12:30.6024525Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:12:30.6024716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.6024824Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.6024828Z 
2025-08-14T22:12:30.6024934Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6025315Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6025389Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6025624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6025714Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6026013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6026099Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6026391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6026460Z     self_outputs = self.self(
2025-08-14T22:12:30.6026748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.6026862Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.6027235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.6027401Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.6027406Z 
2025-08-14T22:12:30.6027508Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6027872Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6027944Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6028181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6028274Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6028578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6028666Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6028999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6029073Z     self_outputs = self.self(
2025-08-14T22:12:30.6029377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.6029498Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.6029882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.6030061Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.6030065Z 
2025-08-14T22:12:30.6030174Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6030564Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6030643Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6030887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6030968Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6031267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6031353Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6031651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.6031769Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.6032081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.6032169Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.6032173Z 
2025-08-14T22:12:30.6032287Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6032665Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6032740Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6032982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6033061Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6033369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6033448Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6033770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.6033900Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.6034196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.6034289Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.6034293Z 
2025-08-14T22:12:30.6034400Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6034773Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6034860Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6035094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6035178Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6035484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.6035612Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.6035902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.6035983Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.6036284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.6036409Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.6036731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-14T22:12:30.6036825Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.6036828Z 
2025-08-14T22:12:30.6036946Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6037304Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6037385Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6037606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6037691Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6037975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.6038055Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.6038338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.6038419Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.6038719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.6038852Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.6039134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:12:30.6039252Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:30.6039466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:30.6039537Z     return self.act(input)
2025-08-14T22:12:30.6039540Z 
2025-08-14T22:12:30.6039649Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6040003Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6040111Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6040334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6040415Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6040706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.6040793Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.6041071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.6041159Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.6041464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-14T22:12:30.6041600Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-14T22:12:30.6041904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-14T22:12:30.6042027Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.6042031Z 
2025-08-14T22:12:30.6042148Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6042518Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6042600Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6042834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6042916Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6043243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6043320Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6043609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6043682Z     self_outputs = self.self(
2025-08-14T22:12:30.6043962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:12:30.6044049Z     query_vectors = self.query(hidden_states)
2025-08-14T22:12:30.6044052Z 
2025-08-14T22:12:30.6044155Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6044504Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6044585Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6044805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6044894Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6045176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6045252Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6045539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6045609Z     self_outputs = self.self(
2025-08-14T22:12:30.6045895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.6045998Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.6046338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.6046545Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.6046550Z 
2025-08-14T22:12:30.6046655Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6047012Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6047083Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6047319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6047411Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6047706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6047787Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6048095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6048168Z     self_outputs = self.self(
2025-08-14T22:12:30.6048509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:12:30.6048593Z     key_vectors = self.key(hidden_states)
2025-08-14T22:12:30.6048597Z 
2025-08-14T22:12:30.6048703Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6049085Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6049161Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6049401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6049504Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6049804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6049894Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6050300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6050393Z     self_outputs = self.self(
2025-08-14T22:12:30.6050696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.6050808Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.6051188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.6051367Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:12:30.6051666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:12:30.6051759Z     hidden_states = hidden_states.view(
2025-08-14T22:12:30.6051763Z 
2025-08-14T22:12:30.6051873Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6052255Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6052330Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6052563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6052655Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6052951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6053038Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6053368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6053448Z     self_outputs = self.self(
2025-08-14T22:12:30.6053764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.6053872Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.6054254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.6054455Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.6054458Z 
2025-08-14T22:12:30.6054545Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6054641Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6054726Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6054810Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6054931Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6055353Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6055440Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6055679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6055764Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6056075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6056155Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6056479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6056562Z     self_outputs = self.self(
2025-08-14T22:12:30.6056868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-14T22:12:30.6056998Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.6057370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.6057524Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-14T22:12:30.6057892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-14T22:12:30.6058054Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-14T22:12:30.6058059Z 
2025-08-14T22:12:30.6058153Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6058263Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6058649Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6058737Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6058980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6059073Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6059381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6059461Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6059772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6059848Z     self_outputs = self.self(
2025-08-14T22:12:30.6060173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:12:30.6060261Z     attn_scores += diagonal_mask
2025-08-14T22:12:30.6060265Z 
2025-08-14T22:12:30.6060379Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6060769Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6060846Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6061085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6061178Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6061483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6061574Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6061880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6062188Z     self_outputs = self.self(
2025-08-14T22:12:30.6062567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:12:30.6062657Z     attn_probs = nn.functional.softmax(
2025-08-14T22:12:30.6062661Z 
2025-08-14T22:12:30.6062779Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6063164Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6063240Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6063536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6063621Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6063918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6064007Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6064305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6064387Z     self_outputs = self.self(
2025-08-14T22:12:30.6064684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:12:30.6064773Z     value_vectors = self.value(hidden_states)
2025-08-14T22:12:30.6064776Z 
2025-08-14T22:12:30.6064893Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6065266Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6065348Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6065584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6065672Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6065982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6066060Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6066358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6066440Z     self_outputs = self.self(
2025-08-14T22:12:30.6066733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.6066867Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.6067273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.6067464Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:12:30.6067679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.6067786Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.6067790Z 
2025-08-14T22:12:30.6067905Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6068280Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6068357Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6068599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6068684Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6068990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6069114Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6069415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6069495Z     self_outputs = self.self(
2025-08-14T22:12:30.6069789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.6069912Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.6070292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.6070455Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:12:30.6070804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:12:30.6070904Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:12:30.6071112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.6071224Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.6071227Z 
2025-08-14T22:12:30.6071334Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6071720Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6071796Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6072031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6072124Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6072424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6072513Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6072815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6072887Z     self_outputs = self.self(
2025-08-14T22:12:30.6073194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.6073317Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.6073693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.6073881Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.6073886Z 
2025-08-14T22:12:30.6073995Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6074378Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6074452Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6074683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6074773Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6075071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6075158Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6075453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6075527Z     self_outputs = self.self(
2025-08-14T22:12:30.6075861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.6075982Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.6076365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.6076522Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.6076526Z 
2025-08-14T22:12:30.6076632Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6077029Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6077106Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6077347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6077433Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6077733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6077818Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6078114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.6078233Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.6078538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.6078628Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.6078632Z 
2025-08-14T22:12:30.6078744Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6079118Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6079195Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6079436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6079519Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6079828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6079905Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6080203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.6080331Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.6080649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.6080747Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.6080753Z 
2025-08-14T22:12:30.6080860Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6081248Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6081330Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6081554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6081633Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6081927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.6082011Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.6082287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.6082393Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.6082680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.6082800Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.6083083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-14T22:12:30.6083172Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.6083176Z 
2025-08-14T22:12:30.6083297Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6083660Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6083744Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6083972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6084060Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6084352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.6084433Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.6084722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.6084804Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.6085119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.6085243Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.6085551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:12:30.6085681Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:30.6085915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:30.6085990Z     return self.act(input)
2025-08-14T22:12:30.6085993Z 
2025-08-14T22:12:30.6086108Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6086494Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6086581Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6086818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6086932Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6087245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.6087337Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.6087616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.6087707Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.6088014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-14T22:12:30.6088151Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-14T22:12:30.6088456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-14T22:12:30.6088544Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.6088547Z 
2025-08-14T22:12:30.6088672Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6089081Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6089164Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6089397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6089479Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6089794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6089875Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6090291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6090374Z     self_outputs = self.self(
2025-08-14T22:12:30.6090686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:12:30.6090788Z     query_vectors = self.query(hidden_states)
2025-08-14T22:12:30.6090791Z 
2025-08-14T22:12:30.6090900Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6091287Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6091373Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6091617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6091726Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6092025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6092107Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6092415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6092491Z     self_outputs = self.self(
2025-08-14T22:12:30.6092800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.6092911Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.6093275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.6093477Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.6093483Z 
2025-08-14T22:12:30.6093591Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6094014Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6094089Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6094310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6094397Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6094677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6094752Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6095040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6095109Z     self_outputs = self.self(
2025-08-14T22:12:30.6095393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:12:30.6095474Z     key_vectors = self.key(hidden_states)
2025-08-14T22:12:30.6095493Z 
2025-08-14T22:12:30.6095596Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6095979Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6096054Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6096293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6096374Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6096670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6096777Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6097089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6097161Z     self_outputs = self.self(
2025-08-14T22:12:30.6097454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.6097557Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.6097908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.6098065Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:12:30.6098359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:12:30.6098449Z     hidden_states = hidden_states.view(
2025-08-14T22:12:30.6098453Z 
2025-08-14T22:12:30.6098561Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6098950Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6099031Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6099272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6099365Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6099668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6099757Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6100060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6100141Z     self_outputs = self.self(
2025-08-14T22:12:30.6100460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.6100570Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.6100932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.6101132Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.6101136Z 
2025-08-14T22:12:30.6101223Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6101316Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6101399Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6101480Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6101599Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6101976Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6102061Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6102329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6102413Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6102720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6102798Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6103094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6103176Z     self_outputs = self.self(
2025-08-14T22:12:30.6103490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-14T22:12:30.6103616Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.6103980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.6104134Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-14T22:12:30.6104488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-14T22:12:30.6104648Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-14T22:12:30.6104651Z 
2025-08-14T22:12:30.6104743Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6104851Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6105229Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6105320Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6105538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6105625Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6105906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6105978Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6106261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6106331Z     self_outputs = self.self(
2025-08-14T22:12:30.6106605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:12:30.6106684Z     attn_scores += diagonal_mask
2025-08-14T22:12:30.6106688Z 
2025-08-14T22:12:30.6106788Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6107158Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6107231Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6107447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6107531Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6107804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6107883Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6108156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6108224Z     self_outputs = self.self(
2025-08-14T22:12:30.6108504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:12:30.6108598Z     attn_probs = nn.functional.softmax(
2025-08-14T22:12:30.6108601Z 
2025-08-14T22:12:30.6108714Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6109068Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6109136Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6109360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6109437Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6109711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6109811Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6110085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6110161Z     self_outputs = self.self(
2025-08-14T22:12:30.6110435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:12:30.6110517Z     value_vectors = self.value(hidden_states)
2025-08-14T22:12:30.6110520Z 
2025-08-14T22:12:30.6110625Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6110966Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6111044Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6111263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6111338Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6111621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6111693Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6111969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6112043Z     self_outputs = self.self(
2025-08-14T22:12:30.6112316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.6112439Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.6112783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.6112954Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:12:30.6113166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.6113264Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.6113269Z 
2025-08-14T22:12:30.6113372Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6113723Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6113791Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6114018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6114096Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6114388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6114462Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6114756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6114871Z     self_outputs = self.self(
2025-08-14T22:12:30.6115151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.6115268Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.6115624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.6115769Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:12:30.6116100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:12:30.6116191Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:12:30.6116379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.6116487Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.6116491Z 
2025-08-14T22:12:30.6116588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6116934Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6117003Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6117215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6117299Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6117570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6117653Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6117924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6117995Z     self_outputs = self.self(
2025-08-14T22:12:30.6118277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.6118392Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.6118744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.6118904Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.6118909Z 
2025-08-14T22:12:30.6119010Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6119386Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6119462Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6119687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6119776Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6120059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6120142Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6120430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6120502Z     self_outputs = self.self(
2025-08-14T22:12:30.6120794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.6120910Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.6121327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.6121478Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.6121481Z 
2025-08-14T22:12:30.6121581Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6121948Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6122019Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6122256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6122335Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6122615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6122699Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6122977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.6123088Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.6123376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.6123458Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.6123462Z 
2025-08-14T22:12:30.6123568Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6123918Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6123990Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6124216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6124297Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6124582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6124656Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6124933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.6125049Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.6125331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.6125422Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.6125425Z 
2025-08-14T22:12:30.6125545Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6125902Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6125983Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6126207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6126284Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6126574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.6126655Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.6126927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.6127002Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.6127296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.6127445Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.6127727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-14T22:12:30.6127815Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.6127818Z 
2025-08-14T22:12:30.6127917Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6128263Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6128360Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6128584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6128672Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6128959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.6129041Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.6129309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.6129386Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.6129672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.6129787Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.6130084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:12:30.6130291Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:30.6130535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:30.6130615Z     return self.act(input)
2025-08-14T22:12:30.6130621Z 
2025-08-14T22:12:30.6130740Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6131122Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6131208Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6131456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6131535Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6131826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.6131908Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.6132192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.6132280Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.6132567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-14T22:12:30.6132698Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-14T22:12:30.6132981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-14T22:12:30.6133062Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.6133065Z 
2025-08-14T22:12:30.6133176Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6133525Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6133606Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6133865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6133946Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6134237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6134313Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6134603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6134674Z     self_outputs = self.self(
2025-08-14T22:12:30.6134974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:12:30.6135062Z     query_vectors = self.query(hidden_states)
2025-08-14T22:12:30.6135065Z 
2025-08-14T22:12:30.6135167Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6135519Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6135598Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6135818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6135905Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6136182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6136258Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6136545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6136615Z     self_outputs = self.self(
2025-08-14T22:12:30.6136904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.6137009Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.6137351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.6137541Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.6137544Z 
2025-08-14T22:12:30.6137645Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6138006Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6138077Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6138325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6138416Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6138701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6138777Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6139066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6139134Z     self_outputs = self.self(
2025-08-14T22:12:30.6139421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:12:30.6139500Z     key_vectors = self.key(hidden_states)
2025-08-14T22:12:30.6139504Z 
2025-08-14T22:12:30.6139604Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6139962Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6140050Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6140296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6140376Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6140656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6140738Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6141016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6141101Z     self_outputs = self.self(
2025-08-14T22:12:30.6141391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.6141496Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.6141850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.6142003Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:12:30.6142284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:12:30.6142367Z     hidden_states = hidden_states.view(
2025-08-14T22:12:30.6142370Z 
2025-08-14T22:12:30.6142472Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6142835Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6142908Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6143130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6143218Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6143502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6143583Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6143867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6143935Z     self_outputs = self.self(
2025-08-14T22:12:30.6144223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.6144324Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.6144681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.6144874Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.6144878Z 
2025-08-14T22:12:30.6144959Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6145044Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6145121Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6145196Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6145305Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6145657Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6145735Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6145956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6146036Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6146328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6146432Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6146713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6146788Z     self_outputs = self.self(
2025-08-14T22:12:30.6147070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-14T22:12:30.6147187Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.6147548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.6147693Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-14T22:12:30.6148029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-14T22:12:30.6148182Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-14T22:12:30.6148186Z 
2025-08-14T22:12:30.6148270Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6148372Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6148731Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6148810Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6149036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6149124Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6149416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6149494Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6149798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6149867Z     self_outputs = self.self(
2025-08-14T22:12:30.6150145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:12:30.6150225Z     attn_scores += diagonal_mask
2025-08-14T22:12:30.6150228Z 
2025-08-14T22:12:30.6150326Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6150683Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6150753Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6150989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6151076Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6151348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6151430Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6151702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6151770Z     self_outputs = self.self(
2025-08-14T22:12:30.6152044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:12:30.6152124Z     attn_probs = nn.functional.softmax(
2025-08-14T22:12:30.6152128Z 
2025-08-14T22:12:30.6152227Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6152574Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6152675Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6152899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6152976Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6153246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6153327Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6153599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6153690Z     self_outputs = self.self(
2025-08-14T22:12:30.6153969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:12:30.6154051Z     value_vectors = self.value(hidden_states)
2025-08-14T22:12:30.6154054Z 
2025-08-14T22:12:30.6154161Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6154511Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6154587Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6154807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6154881Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6155163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6155237Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6155516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6155592Z     self_outputs = self.self(
2025-08-14T22:12:30.6155873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.6155996Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.6156344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.6156513Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:12:30.6156713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.6156808Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.6156812Z 
2025-08-14T22:12:30.6156931Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6157282Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6157352Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6157579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6157656Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6157943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6158016Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6158293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6158369Z     self_outputs = self.self(
2025-08-14T22:12:30.6158644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.6158792Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.6159145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.6159276Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:12:30.6159593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:12:30.6159682Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:12:30.6159895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.6160000Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.6160004Z 
2025-08-14T22:12:30.6160104Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6160459Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6160529Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6160745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6160830Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6161109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6161190Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6161476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6161546Z     self_outputs = self.self(
2025-08-14T22:12:30.6161839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.6161955Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.6162546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.6162713Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.6162717Z 
2025-08-14T22:12:30.6162819Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6163180Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6163254Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6163536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6163627Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6163910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6163991Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6164276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6164346Z     self_outputs = self.self(
2025-08-14T22:12:30.6164632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.6164747Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.6165107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.6165256Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.6165285Z 
2025-08-14T22:12:30.6165412Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6165774Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6165847Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6166078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6166158Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6166456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6166564Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6166848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.6166963Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.6167257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.6167341Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.6167344Z 
2025-08-14T22:12:30.6167454Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6167808Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6167880Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6168113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6168192Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6168484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6168562Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6168847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.6168968Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.6169251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.6169333Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.6169344Z 
2025-08-14T22:12:30.6169447Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6169799Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6169900Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6170194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6170287Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6170610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.6170701Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.6171000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.6171086Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.6171411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.6171548Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.6171853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-14T22:12:30.6171988Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.6171992Z 
2025-08-14T22:12:30.6172102Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6172471Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6172556Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6172791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6172895Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6173208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.6173299Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.6173590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.6173675Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.6173977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.6174099Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.6174399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:12:30.6174525Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:30.6174755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:30.6174833Z     return self.act(input)
2025-08-14T22:12:30.6174836Z 
2025-08-14T22:12:30.6174950Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6175325Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6175409Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6175651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6175729Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6176020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.6176101Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.6176365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.6176448Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.6176752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-14T22:12:30.6176888Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-14T22:12:30.6177172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-14T22:12:30.6177255Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.6177258Z 
2025-08-14T22:12:30.6177369Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6177720Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6177802Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6178023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6178103Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6178407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6178497Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6178780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6178858Z     self_outputs = self.self(
2025-08-14T22:12:30.6179140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:12:30.6179228Z     query_vectors = self.query(hidden_states)
2025-08-14T22:12:30.6179245Z 
2025-08-14T22:12:30.6179348Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6179699Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6179776Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6179998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6180082Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6180359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6180435Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6180716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6180786Z     self_outputs = self.self(
2025-08-14T22:12:30.6181073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.6181176Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.6181527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.6181715Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.6181718Z 
2025-08-14T22:12:30.6181814Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6182153Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6182225Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6182434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6182517Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6182796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6182869Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6183144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6183211Z     self_outputs = self.self(
2025-08-14T22:12:30.6183482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:12:30.6183557Z     key_vectors = self.key(hidden_states)
2025-08-14T22:12:30.6183561Z 
2025-08-14T22:12:30.6183656Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6183998Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6184068Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6184288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6184380Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6184676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6184757Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6185023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6185089Z     self_outputs = self.self(
2025-08-14T22:12:30.6185362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.6185480Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.6185814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.6185961Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:12:30.6186234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:12:30.6186317Z     hidden_states = hidden_states.view(
2025-08-14T22:12:30.6186320Z 
2025-08-14T22:12:30.6186417Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6186760Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6186830Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6187043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6187125Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6187396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6187476Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6187745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6187812Z     self_outputs = self.self(
2025-08-14T22:12:30.6188090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:12:30.6188184Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.6188510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.6188695Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:12:30.6188698Z 
2025-08-14T22:12:30.6188790Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6188878Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6188952Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6189041Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6189144Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6189493Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6189567Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6189783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6189860Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6190139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6190210Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6190475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6190579Z     self_outputs = self.self(
2025-08-14T22:12:30.6190847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-14T22:12:30.6190959Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-14T22:12:30.6191281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul
2025-08-14T22:12:30.6191415Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-14T22:12:30.6191772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-14T22:12:30.6191915Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-14T22:12:30.6191919Z 
2025-08-14T22:12:30.6192003Z cudagraph partition due to non gpu ops
2025-08-14T22:12:30.6192101Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6192440Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6192515Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6192734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6192817Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6193083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6193156Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6193431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6193500Z     self_outputs = self.self(
2025-08-14T22:12:30.6193775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:12:30.6193857Z     attn_scores += diagonal_mask
2025-08-14T22:12:30.6193860Z 
2025-08-14T22:12:30.6193959Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6194308Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6194376Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6194594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6194680Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6194973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6195055Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6195327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6195395Z     self_outputs = self.self(
2025-08-14T22:12:30.6195671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:12:30.6195758Z     attn_probs = nn.functional.softmax(
2025-08-14T22:12:30.6195762Z 
2025-08-14T22:12:30.6195858Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6196197Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6196265Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6196487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6196580Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6196870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6196957Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6197220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6197291Z     self_outputs = self.self(
2025-08-14T22:12:30.6197557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:12:30.6197651Z     value_vectors = self.value(hidden_states)
2025-08-14T22:12:30.6197655Z 
2025-08-14T22:12:30.6197756Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6198090Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6198170Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6198386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6198462Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6198754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6198825Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6199091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6199166Z     self_outputs = self.self(
2025-08-14T22:12:30.6199431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.6199550Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.6199886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.6200052Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:12:30.6200244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.6200339Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.6200342Z 
2025-08-14T22:12:30.6200444Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6200779Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6200864Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6201087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6201163Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6201435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6201507Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6201774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6201847Z     self_outputs = self.self(
2025-08-14T22:12:30.6202126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.6202241Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.6202597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.6202765Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:12:30.6203089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:12:30.6203179Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:12:30.6203368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:12:30.6203471Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:12:30.6203475Z 
2025-08-14T22:12:30.6203591Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6203939Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6204010Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6204229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6204312Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6204628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6204708Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6204982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6205049Z     self_outputs = self.self(
2025-08-14T22:12:30.6205329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.6205440Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.6205799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.6205957Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.6205961Z 
2025-08-14T22:12:30.6206059Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6206406Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6206477Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6206692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6206779Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6207068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6207151Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6207430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:12:30.6207497Z     self_outputs = self.self(
2025-08-14T22:12:30.6207777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:12:30.6207889Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:12:30.6208248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:12:30.6208399Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:12:30.6208403Z 
2025-08-14T22:12:30.6208504Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6208867Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6208976Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6209210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6209290Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6209572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6209653Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6209937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.6210065Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.6210431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.6210524Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.6210528Z 
2025-08-14T22:12:30.6210645Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6211021Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6211098Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6211343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6211425Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6211737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:12:30.6211818Z     self_attn_outputs = self.attention(
2025-08-14T22:12:30.6212121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:12:30.6212250Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:12:30.6212547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:12:30.6212629Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.6212642Z 
2025-08-14T22:12:30.6212744Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6213096Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6213179Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6213404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6213503Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6213791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.6213876Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.6214149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.6214224Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.6214505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.6214623Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.6214913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-14T22:12:30.6214999Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.6215002Z 
2025-08-14T22:12:30.6215101Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6215469Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6215549Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6215765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6215841Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6216123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.6216204Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.6216482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.6216558Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.6216835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:12:30.6216953Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:12:30.6217225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:12:30.6217343Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:30.6217551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:30.6217620Z     return self.act(input)
2025-08-14T22:12:30.6217624Z 
2025-08-14T22:12:30.6217730Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:30.6218077Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:12:30.6218155Z     layer_outputs = layer_module(
2025-08-14T22:12:30.6218374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:30.6218453Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:30.6218733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:12:30.6218812Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:30.6219069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:30.6219153Z     return forward_fn(*input_tensors)
2025-08-14T22:12:30.6219434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-14T22:12:30.6219559Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-14T22:12:30.6219853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-14T22:12:30.6219936Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:12:30.6219940Z 
2025-08-14T22:13:44.0072395Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:44.0073192Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1716, in torch_dynamo_resume_in_forward_at_1703
2025-08-14T22:13:44.0073828Z     prediction_scores = self.lm_head(sequence_output)
2025-08-14T22:13:44.0074353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1333, in forward
2025-08-14T22:13:44.0074869Z     x = self.dense(features)
2025-08-14T22:13:44.0075000Z 
2025-08-14T22:13:44.0075175Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:44.0080992Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1716, in torch_dynamo_resume_in_forward_at_1703
2025-08-14T22:13:44.0082875Z     prediction_scores = self.lm_head(sequence_output)
2025-08-14T22:13:44.0083561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1338, in forward
2025-08-14T22:13:44.0084036Z     x = self.decoder(x)
2025-08-14T22:13:44.0084175Z 
2025-08-14T22:13:47.1924685Z Compilation time (from dynamo_timed): 271.964003546
2025-08-14T22:13:47.2327504Z pass
2025-08-14T22:13:47.2327983Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:13:47.2328821Z TIMING: gc:0.00815 entire_frame_compile:271.964 _recursive_pre_grad_passes:0.02578 _recursive_joint_graph_passes:2.6909 _recursive_post_grad_passes:12.92882 async_compile.wait:3.50475 code_gen:69.79486 inductor_compile:113.15645 backend_compile:224.37133 total_wall_time:271.964
2025-08-14T22:13:47.2331091Z STATS: call_* op count: 1849 | FakeTensorMode.__torch_dispatch__:64658 | attempt fast:361 | fast is_contiguous:352 | FakeTensor.__torch_dispatch__:17751 | ProxyTorchDispatchMode.__torch_dispatch__:19860 | slow both tensors nontrivially broadcast:6 | slow no contiguity match:3
2025-08-14T22:13:47.2331910Z Dynamo produced 4 graphs covering 1849 ops with 4 graph breaks (1 unique)
2025-08-14T22:14:16.9714571Z 
2025-08-14T22:14:18.3797889Z loading model: 0it [00:00, ?it/s]Passing a tuple of `past_key_values` is deprecated and will be removed in Transformers v4.58.0. You should pass an instance of `ReformerDynamicCache` instead, e.g. `past_key_values=ReformerDynamicCache.from_legacy_cache(past_key_values)`.
2025-08-14T22:14:18.3799328Z WARNING:transformers.models.reformer.modeling_reformer:Passing a tuple of `past_key_values` is deprecated and will be removed in Transformers v4.58.0. You should pass an instance of `ReformerDynamicCache` instead, e.g. `past_key_values=ReformerDynamicCache.from_legacy_cache(past_key_values)`.
2025-08-14T22:14:18.8046376Z 
2025-08-14T22:14:18.8047308Z loading model: 0it [00:01, ?it/s]
2025-08-14T22:14:18.8050938Z cpu  eval  hf_Reformer                        
2025-08-14T22:14:20.7048311Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:14:21.3368225Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:14:22.0211680Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:14:29.3790498Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:29.3791140Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 2095, in forward
2025-08-14T22:14:29.3791751Z     least_common_mult_chunk_length = _get_least_common_mult_chunk_len(self.config)
2025-08-14T22:14:29.3792806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 194, in _get_least_common_mult_chunk_len
2025-08-14T22:14:29.3793454Z     return np.lcm(config.lsh_attn_chunk_length, config.local_attn_chunk_length)
2025-08-14T22:14:29.3793701Z 
2025-08-14T22:14:29.3793834Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:29.3794354Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 2099, in forward
2025-08-14T22:14:29.3794862Z     input_shape[-1] % least_common_mult_chunk_length != 0
2025-08-14T22:14:29.3795050Z 
2025-08-14T22:14:30.2810600Z W0814 22:14:30.279412 24835 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] Graph break from `Tensor.item()`, consider setting:
2025-08-14T22:14:30.2812225Z W0814 22:14:30.279412 24835 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-14T22:14:30.2814712Z W0814 22:14:30.279412 24835 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] or:
2025-08-14T22:14:30.2815838Z W0814 22:14:30.279412 24835 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-14T22:14:30.2816671Z W0814 22:14:30.279412 24835 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] to include these operations in the captured graph.
2025-08-14T22:14:30.2817219Z W0814 22:14:30.279412 24835 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] 
2025-08-14T22:14:30.2817698Z W0814 22:14:30.279412 24835 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] Graph break: from user code at:
2025-08-14T22:14:30.2818577Z W0814 22:14:30.279412 24835 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 2132, in torch_dynamo_resume_in_forward_at_2104
2025-08-14T22:14:30.2819538Z W0814 22:14:30.279412 24835 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]     embedding_output = self.embeddings(
2025-08-14T22:14:30.2820330Z W0814 22:14:30.279412 24835 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 369, in forward
2025-08-14T22:14:30.2821159Z W0814 22:14:30.279412 24835 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]     position_embeddings = self.position_embeddings(position_ids)
2025-08-14T22:14:30.2821986Z W0814 22:14:30.279412 24835 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 293, in forward
2025-08-14T22:14:30.2822775Z W0814 22:14:30.279412 24835 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]     max_position_id = position_ids.max().item()
2025-08-14T22:14:30.2823266Z W0814 22:14:30.279412 24835 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] 
2025-08-14T22:14:30.2823670Z W0814 22:14:30.279412 24835 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] 
2025-08-14T22:14:30.8447794Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:30.8448484Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 351, in forward
2025-08-14T22:14:30.8448997Z     position_ids = torch.arange(
2025-08-14T22:14:30.8449144Z 
2025-08-14T22:14:30.8449266Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:30.8449922Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 357, in forward
2025-08-14T22:14:30.8450424Z     inputs_embeds = self.word_embeddings(input_ids)
2025-08-14T22:14:30.8450606Z 
2025-08-14T22:14:31.7924036Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:31.7925012Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 293, in forward
2025-08-14T22:14:31.7925633Z     max_position_id = position_ids.max().item()
2025-08-14T22:14:31.7925824Z 
2025-08-14T22:14:33.4536007Z cudagraph partition due to non gpu ops
2025-08-14T22:14:33.4536636Z cudagraph partition due to non gpu ops
2025-08-14T22:14:33.4541208Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:33.4544026Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 297, in torch_dynamo_resume_in_forward_at_293
2025-08-14T22:14:33.4544752Z     position_encodings = torch.cat(
2025-08-14T22:14:33.4544919Z 
2025-08-14T22:14:33.4545051Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:33.4545679Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 303, in torch_dynamo_resume_in_forward_at_293
2025-08-14T22:14:33.4546183Z     position_encodings = torch.cat(
2025-08-14T22:14:33.4546311Z 
2025-08-14T22:14:35.0663948Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:35.0665334Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 370, in torch_dynamo_resume_in_forward_at_369
2025-08-14T22:14:35.0665921Z     embeddings = embeddings + position_embeddings
2025-08-14T22:14:35.0666120Z 
2025-08-14T22:14:40.5672909Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5673619Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5674179Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5674706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5675616Z     layer_outputs = layer(
2025-08-14T22:14:40.5676078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5676575Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5677096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5677601Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5678142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:14:40.5678735Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:14:40.5679351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-14T22:14:40.5680003Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-14T22:14:40.5680327Z 
2025-08-14T22:14:40.5680460Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5681064Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5681655Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5682160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5682612Z     layer_outputs = layer(
2025-08-14T22:14:40.5683067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5683532Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5683977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5684468Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5685918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:14:40.5686551Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:14:40.5687426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 807, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:14:40.5688042Z     undo_sorted_bucket_idx.scatter_(-1, sorted_bucket_idx, indices)
2025-08-14T22:14:40.5688244Z 
2025-08-14T22:14:40.5688375Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5688954Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5689491Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5690182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5690715Z     layer_outputs = layer(
2025-08-14T22:14:40.5691192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5691639Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5692078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5692525Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5692970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:14:40.5693550Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:14:40.5694196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 800, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:14:40.5694784Z     torch.arange(sorted_bucket_idx.shape[-1], device=buckets.device)
2025-08-14T22:14:40.5694987Z 
2025-08-14T22:14:40.5695104Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5695640Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5696176Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5696791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5697211Z     layer_outputs = layer(
2025-08-14T22:14:40.5697622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5698049Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5698476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5698917Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5699363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:14:40.5699871Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:14:40.5700389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-14T22:14:40.5700959Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-14T22:14:40.5701227Z 
2025-08-14T22:14:40.5701337Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5701895Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5702422Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5702880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5703313Z     layer_outputs = layer(
2025-08-14T22:14:40.5703725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5704154Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5704587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5705043Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5705495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:14:40.5706047Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:14:40.5706721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 807, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:14:40.5707309Z     undo_sorted_bucket_idx.scatter_(-1, sorted_bucket_idx, indices)
2025-08-14T22:14:40.5707502Z 
2025-08-14T22:14:40.5707619Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5708147Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5708671Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5709142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5709565Z     layer_outputs = layer(
2025-08-14T22:14:40.5709962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5710397Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5710819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5711258Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5711703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:14:40.5712245Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:14:40.5712884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 800, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:14:40.5713473Z     torch.arange(sorted_bucket_idx.shape[-1], device=buckets.device)
2025-08-14T22:14:40.5713683Z 
2025-08-14T22:14:40.5713797Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5714346Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5714880Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5715336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5715770Z     layer_outputs = layer(
2025-08-14T22:14:40.5716185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5716629Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5717054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5717530Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5718003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:14:40.5718529Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:14:40.5719072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-14T22:14:40.5719661Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-14T22:14:40.5719930Z 
2025-08-14T22:14:40.5720053Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5720613Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5721169Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5721646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5722101Z     layer_outputs = layer(
2025-08-14T22:14:40.5722532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5722978Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5723413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5723873Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5724321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:14:40.5724909Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:14:40.5725568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 807, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:14:40.5726167Z     undo_sorted_bucket_idx.scatter_(-1, sorted_bucket_idx, indices)
2025-08-14T22:14:40.5726362Z 
2025-08-14T22:14:40.5726477Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5727028Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5727588Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5728049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5728491Z     layer_outputs = layer(
2025-08-14T22:14:40.5728903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5729348Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5729786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5730404Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5730864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:14:40.5731433Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:14:40.5732093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 800, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:14:40.5732700Z     torch.arange(sorted_bucket_idx.shape[-1], device=buckets.device)
2025-08-14T22:14:40.5732903Z 
2025-08-14T22:14:40.5733017Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5733602Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5734128Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5734573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5734989Z     layer_outputs = layer(
2025-08-14T22:14:40.5735393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5735822Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5736236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5736679Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5737126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1198, in forward
2025-08-14T22:14:40.5737603Z     query_vectors = self.query(hidden_states)
2025-08-14T22:14:40.5737751Z 
2025-08-14T22:14:40.5737880Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5738416Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5738943Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5739389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5739808Z     layer_outputs = layer(
2025-08-14T22:14:40.5740217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5740670Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5741090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5741545Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5741996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1199, in forward
2025-08-14T22:14:40.5742437Z     key_vectors = self.key(hidden_states)
2025-08-14T22:14:40.5742586Z 
2025-08-14T22:14:40.5742680Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5742919Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5743179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5743724Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5744284Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5744713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5745124Z     layer_outputs = layer(
2025-08-14T22:14:40.5745510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5745921Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5746330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5746758Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5747180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-14T22:14:40.5747706Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.5748249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:14:40.5748774Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:14:40.5748991Z 
2025-08-14T22:14:40.5749073Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5749290Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5749529Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5750034Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5750533Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5750960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5751369Z     layer_outputs = layer(
2025-08-14T22:14:40.5751751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5752166Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5752610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5753033Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5753447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-14T22:14:40.5753960Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.5754488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-14T22:14:40.5754943Z     return torch.cat(slices, dim=3)
2025-08-14T22:14:40.5755073Z 
2025-08-14T22:14:40.5755176Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5755691Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5756193Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5756617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5757023Z     layer_outputs = layer(
2025-08-14T22:14:40.5757412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5757825Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5758224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5758654Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5759081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-14T22:14:40.5759577Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-14T22:14:40.5759785Z 
2025-08-14T22:14:40.5759892Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5760403Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5760903Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5761334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5761734Z     layer_outputs = layer(
2025-08-14T22:14:40.5762381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5762806Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5763262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5763692Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5764114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-14T22:14:40.5764595Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-14T22:14:40.5764810Z 
2025-08-14T22:14:40.5764923Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5765462Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5765991Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5766442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5766860Z     layer_outputs = layer(
2025-08-14T22:14:40.5767274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5767771Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5768193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5768640Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5769082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1200, in forward
2025-08-14T22:14:40.5769523Z     value_vectors = self.value(hidden_states)
2025-08-14T22:14:40.5769673Z 
2025-08-14T22:14:40.5769794Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5770099Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5770362Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5770918Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5771453Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5771901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5772328Z     layer_outputs = layer(
2025-08-14T22:14:40.5772728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5773308Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5773736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5774192Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5774637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1266, in forward
2025-08-14T22:14:40.5775191Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.5775766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:14:40.5776295Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:14:40.5776512Z 
2025-08-14T22:14:40.5776597Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5776831Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5777084Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5777611Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5778138Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5778609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5779007Z     layer_outputs = layer(
2025-08-14T22:14:40.5779380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5779779Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5780174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5780590Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5780998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-14T22:14:40.5781440Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:14:40.5781611Z 
2025-08-14T22:14:40.5781721Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5782213Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5782786Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5783210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5783612Z     layer_outputs = layer(
2025-08-14T22:14:40.5783991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5784401Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5784805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5785251Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5785666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-14T22:14:40.5786113Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:14:40.5786281Z 
2025-08-14T22:14:40.5786395Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5786898Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5787386Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5787808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5788208Z     layer_outputs = layer(
2025-08-14T22:14:40.5788586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5788997Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5789398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5789827Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5790269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1324, in forward
2025-08-14T22:14:40.5790884Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-14T22:14:40.5791468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 415, in _merge_hidden_size_dims
2025-08-14T22:14:40.5791992Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-14T22:14:40.5792195Z 
2025-08-14T22:14:40.5792300Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5792846Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5793340Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5793772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5794163Z     layer_outputs = layer(
2025-08-14T22:14:40.5794547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5794950Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5795342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-14T22:14:40.5795813Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-14T22:14:40.5796285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-14T22:14:40.5796700Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.5796864Z 
2025-08-14T22:14:40.5796965Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5797490Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5797986Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5798412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5798808Z     layer_outputs = layer(
2025-08-14T22:14:40.5799190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:14:40.5799664Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:14:40.5800118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:14:40.5800526Z     return apply_chunking_to_forward(
2025-08-14T22:14:40.5800931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:40.5801329Z     return forward_fn(*input_tensors)
2025-08-14T22:14:40.5801743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-14T22:14:40.5802174Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.5802587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward
2025-08-14T22:14:40.5803000Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.5803138Z 
2025-08-14T22:14:40.5803242Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5803743Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5804233Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5804654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5805048Z     layer_outputs = layer(
2025-08-14T22:14:40.5805434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:14:40.5805916Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:14:40.5806385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:14:40.5806819Z     return apply_chunking_to_forward(
2025-08-14T22:14:40.5807258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:40.5807679Z     return forward_fn(*input_tensors)
2025-08-14T22:14:40.5808118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-14T22:14:40.5808573Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.5809024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-14T22:14:40.5809460Z     hidden_states = self.act_fn(hidden_states)
2025-08-14T22:14:40.5809610Z 
2025-08-14T22:14:40.5809720Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5810349Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5810893Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5811358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5811810Z     layer_outputs = layer(
2025-08-14T22:14:40.5812218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:14:40.5812671Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:14:40.5813114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:14:40.5813522Z     return apply_chunking_to_forward(
2025-08-14T22:14:40.5813915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:40.5814335Z     return forward_fn(*input_tensors)
2025-08-14T22:14:40.5814752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk
2025-08-14T22:14:40.5815177Z     return self.output(hidden_states)
2025-08-14T22:14:40.5815588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward
2025-08-14T22:14:40.5816008Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.5816145Z 
2025-08-14T22:14:40.5816247Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5816751Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5817245Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5817662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5818065Z     layer_outputs = layer(
2025-08-14T22:14:40.5818451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5818864Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5819262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5819688Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5820109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 540, in forward
2025-08-14T22:14:40.5820538Z     query_key_vectors = self.query_key(hidden_states)
2025-08-14T22:14:40.5820688Z 
2025-08-14T22:14:40.5820790Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5821291Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5821785Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5834192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5834656Z     layer_outputs = layer(
2025-08-14T22:14:40.5835058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5835491Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5835898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5836321Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5836733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:14:40.5837210Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:14:40.5837702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-14T22:14:40.5838265Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-14T22:14:40.5838541Z 
2025-08-14T22:14:40.5838653Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5839161Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5839659Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5840084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5840479Z     layer_outputs = layer(
2025-08-14T22:14:40.5840905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5841317Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5841715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5842147Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5842570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:14:40.5843046Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:14:40.5843530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 751, in _hash_vectors
2025-08-14T22:14:40.5844025Z     rotated_vectors = torch.einsum("bmtd,mdhr->bmhtr", vectors, random_rotations)
2025-08-14T22:14:40.5844239Z 
2025-08-14T22:14:40.5844344Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5844853Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5845345Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5845772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5846174Z     layer_outputs = layer(
2025-08-14T22:14:40.5846557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5846971Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5847370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5847792Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5848214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:14:40.5848709Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:14:40.5849180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 754, in _hash_vectors
2025-08-14T22:14:40.5849669Z     rotated_vectors = torch.cat([rotated_vectors, -rotated_vectors], dim=-1)
2025-08-14T22:14:40.5849970Z 
2025-08-14T22:14:40.5850101Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5850640Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5851207Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5851623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5852055Z     layer_outputs = layer(
2025-08-14T22:14:40.5852461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5852929Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5853377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5853829Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5854269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:14:40.5854765Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:14:40.5855281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 755, in _hash_vectors
2025-08-14T22:14:40.5855791Z     buckets = torch.argmax(rotated_vectors, dim=-1)
2025-08-14T22:14:40.5855959Z 
2025-08-14T22:14:40.5856075Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5856618Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5857149Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5857601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5858015Z     layer_outputs = layer(
2025-08-14T22:14:40.5858398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5858800Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5859190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5859605Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5860020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:14:40.5860537Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:14:40.5861131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 796, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:14:40.5861650Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-14T22:14:40.5862247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 182, in _stable_argsort
2025-08-14T22:14:40.5862756Z     scaled_vector = vector.shape[dim] * vector + (scale_offset % vector.shape[dim])
2025-08-14T22:14:40.5862968Z 
2025-08-14T22:14:40.5863051Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5863293Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5863867Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5864367Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5864794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5865190Z     layer_outputs = layer(
2025-08-14T22:14:40.5865569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5865962Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5866357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5866787Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5867220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:14:40.5867775Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:14:40.5868420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 796, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:14:40.5868939Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-14T22:14:40.5869394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 183, in _stable_argsort
2025-08-14T22:14:40.5869824Z     return torch.argsort(scaled_vector, dim=dim)
2025-08-14T22:14:40.5869977Z 
2025-08-14T22:14:40.5870108Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5870326Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5870553Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5871054Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5871544Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5871963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5872352Z     layer_outputs = layer(
2025-08-14T22:14:40.5872732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5873132Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5873526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5873939Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5874358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.5874787Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.5875210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-14T22:14:40.5875728Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.5876269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:14:40.5876761Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:14:40.5876962Z 
2025-08-14T22:14:40.5877049Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5877257Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5877493Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5878013Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5878496Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5878922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5879334Z     layer_outputs = layer(
2025-08-14T22:14:40.5879723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5880128Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5880556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5880984Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5881403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.5881844Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.5882320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-14T22:14:40.5882866Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.5883423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-14T22:14:40.5883871Z     return torch.cat(slices, dim=3)
2025-08-14T22:14:40.5884009Z 
2025-08-14T22:14:40.5884089Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5884328Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5884846Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5885340Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5885762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5886162Z     layer_outputs = layer(
2025-08-14T22:14:40.5886543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5886970Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5887374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5887792Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5888216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 541, in forward
2025-08-14T22:14:40.5888629Z     value_vectors = self.value(hidden_states)
2025-08-14T22:14:40.5888769Z 
2025-08-14T22:14:40.5888882Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5889383Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5889939Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5890398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5890822Z     layer_outputs = layer(
2025-08-14T22:14:40.5891223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5891657Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5892064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5892482Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5892931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.5893372Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.5893808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-14T22:14:40.5894314Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.5894847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:14:40.5895343Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:14:40.5895549Z 
2025-08-14T22:14:40.5895638Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5895873Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5896382Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5896920Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5897351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5897756Z     layer_outputs = layer(
2025-08-14T22:14:40.5898146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5898559Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5898961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5899412Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5899837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.5900272Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.5900698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-14T22:14:40.5901207Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.5901732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-14T22:14:40.5902160Z     return torch.cat(slices, dim=3)
2025-08-14T22:14:40.5902289Z 
2025-08-14T22:14:40.5902393Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5902897Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5903381Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5903791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5904184Z     layer_outputs = layer(
2025-08-14T22:14:40.5904566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5904972Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5905367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5905788Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5906209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 595, in forward
2025-08-14T22:14:40.5906753Z     query_key_vectors = self._gather_by_expansion(query_key_vectors, sorted_bucket_idx_per_hash, num_hashes)
2025-08-14T22:14:40.5907324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1099, in _gather_by_expansion
2025-08-14T22:14:40.5907790Z     return torch.gather(vectors, 2, expanded_idxs)
2025-08-14T22:14:40.5907939Z 
2025-08-14T22:14:40.5908049Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5908551Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5909050Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5909480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5909890Z     layer_outputs = layer(
2025-08-14T22:14:40.5910272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5910687Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5911141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5911562Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5911974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.5912406Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.5912837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 849, in _attend
2025-08-14T22:14:40.5913323Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-14T22:14:40.5913554Z 
2025-08-14T22:14:40.5913658Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5914169Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5914667Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5915092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5915489Z     layer_outputs = layer(
2025-08-14T22:14:40.5915874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5916281Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5916674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5917102Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5917522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.5918003Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.5918430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 845, in _attend
2025-08-14T22:14:40.5918962Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.5919514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:14:40.5920014Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:14:40.5920228Z 
2025-08-14T22:14:40.5920309Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5920556Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5921058Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5921579Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5922007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5922426Z     layer_outputs = layer(
2025-08-14T22:14:40.5922822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5923250Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5923651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5924073Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5924485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.5924919Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.5925350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-14T22:14:40.5925871Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:14:40.5926057Z 
2025-08-14T22:14:40.5926168Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5926711Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5927249Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5927697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5928145Z     layer_outputs = layer(
2025-08-14T22:14:40.5928549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5928977Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5929394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5929921Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5930400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.5930878Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.5931334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-14T22:14:40.5931806Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:14:40.5931986Z 
2025-08-14T22:14:40.5932081Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5932334Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5932870Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5933401Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5933855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5934278Z     layer_outputs = layer(
2025-08-14T22:14:40.5934689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5935094Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5935512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5935963Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5936437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 692, in forward
2025-08-14T22:14:40.5937017Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-14T22:14:40.5937639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 415, in _merge_hidden_size_dims
2025-08-14T22:14:40.5938191Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-14T22:14:40.5938410Z 
2025-08-14T22:14:40.5938520Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5939061Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5939581Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5940030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5940464Z     layer_outputs = layer(
2025-08-14T22:14:40.5940895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5941342Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5941767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-14T22:14:40.5942272Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-14T22:14:40.5942773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-14T22:14:40.5943207Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.5943395Z 
2025-08-14T22:14:40.5943500Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5943996Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5944484Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5944898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5945296Z     layer_outputs = layer(
2025-08-14T22:14:40.5945678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:14:40.5946124Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:14:40.5946583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:14:40.5946997Z     return apply_chunking_to_forward(
2025-08-14T22:14:40.5947396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:40.5947787Z     return forward_fn(*input_tensors)
2025-08-14T22:14:40.5948207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-14T22:14:40.5948645Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.5949054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward
2025-08-14T22:14:40.5949459Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.5949606Z 
2025-08-14T22:14:40.5949714Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5950215Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5950700Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5951139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5951540Z     layer_outputs = layer(
2025-08-14T22:14:40.5951921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:14:40.5952357Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:14:40.5952803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:14:40.5953205Z     return apply_chunking_to_forward(
2025-08-14T22:14:40.5953594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:40.5953979Z     return forward_fn(*input_tensors)
2025-08-14T22:14:40.5954392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-14T22:14:40.5954819Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.5955218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-14T22:14:40.5955691Z     hidden_states = self.act_fn(hidden_states)
2025-08-14T22:14:40.5955839Z 
2025-08-14T22:14:40.5955941Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5956433Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5956908Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5957320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5957733Z     layer_outputs = layer(
2025-08-14T22:14:40.5958109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:14:40.5958546Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:14:40.5959022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:14:40.5959412Z     return apply_chunking_to_forward(
2025-08-14T22:14:40.5959784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:40.5960151Z     return forward_fn(*input_tensors)
2025-08-14T22:14:40.5960549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk
2025-08-14T22:14:40.5960957Z     return self.output(hidden_states)
2025-08-14T22:14:40.5961335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward
2025-08-14T22:14:40.5961735Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.5961874Z 
2025-08-14T22:14:40.5961972Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5962607Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5963090Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5963509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5963919Z     layer_outputs = layer(
2025-08-14T22:14:40.5964313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5964723Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5965129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5965617Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5966042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1198, in forward
2025-08-14T22:14:40.5966460Z     query_vectors = self.query(hidden_states)
2025-08-14T22:14:40.5966606Z 
2025-08-14T22:14:40.5966709Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5967209Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5967694Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5968120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5968526Z     layer_outputs = layer(
2025-08-14T22:14:40.5968913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5969317Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5969788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5970272Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5970701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1199, in forward
2025-08-14T22:14:40.5971139Z     key_vectors = self.key(hidden_states)
2025-08-14T22:14:40.5971289Z 
2025-08-14T22:14:40.5971375Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5971604Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5971851Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5972410Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5972907Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5973334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5973737Z     layer_outputs = layer(
2025-08-14T22:14:40.5974126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5974546Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5974962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5975404Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5975833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-14T22:14:40.5976361Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.5976920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:14:40.5977452Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:14:40.5977683Z 
2025-08-14T22:14:40.5977770Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5977997Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5978241Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5978783Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5979309Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5979756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5980186Z     layer_outputs = layer(
2025-08-14T22:14:40.5980617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5981056Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5981478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5981931Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5982383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-14T22:14:40.5982927Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.5983482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-14T22:14:40.5983940Z     return torch.cat(slices, dim=3)
2025-08-14T22:14:40.5984077Z 
2025-08-14T22:14:40.5984197Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5984767Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5985262Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5985698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5986125Z     layer_outputs = layer(
2025-08-14T22:14:40.5986522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5986929Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5987353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5987780Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5988202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-14T22:14:40.5988703Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-14T22:14:40.5988918Z 
2025-08-14T22:14:40.5989024Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5989530Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5990020Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5990450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5990853Z     layer_outputs = layer(
2025-08-14T22:14:40.5991246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5991647Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5992059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5992484Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5992902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-14T22:14:40.5993384Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-14T22:14:40.5993596Z 
2025-08-14T22:14:40.5993699Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5994208Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5994696Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.5995185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.5995600Z     layer_outputs = layer(
2025-08-14T22:14:40.5995982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.5996379Z     attn_outputs = self.attention(
2025-08-14T22:14:40.5996831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.5997256Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.5997676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1200, in forward
2025-08-14T22:14:40.5998086Z     value_vectors = self.value(hidden_states)
2025-08-14T22:14:40.5998233Z 
2025-08-14T22:14:40.5998313Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5998533Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.5998767Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.5999324Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.5999811Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6000224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6000611Z     layer_outputs = layer(
2025-08-14T22:14:40.6000991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6001417Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6001822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6002246Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6002676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1266, in forward
2025-08-14T22:14:40.6003196Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.6003731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:14:40.6004237Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:14:40.6004451Z 
2025-08-14T22:14:40.6004531Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6004746Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6004980Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6005487Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6005982Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6006409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6006810Z     layer_outputs = layer(
2025-08-14T22:14:40.6007194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6007603Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6007999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6008428Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6008858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-14T22:14:40.6009328Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:14:40.6009501Z 
2025-08-14T22:14:40.6009611Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6010249Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6010813Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6011279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6011703Z     layer_outputs = layer(
2025-08-14T22:14:40.6012114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6012554Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6012972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6013426Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6013913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-14T22:14:40.6014390Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:14:40.6014571Z 
2025-08-14T22:14:40.6014679Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6015201Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6015720Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6016160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6016597Z     layer_outputs = layer(
2025-08-14T22:14:40.6017003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6017436Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6017859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6018300Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6018744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1324, in forward
2025-08-14T22:14:40.6019318Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-14T22:14:40.6019924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 415, in _merge_hidden_size_dims
2025-08-14T22:14:40.6020481Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-14T22:14:40.6020697Z 
2025-08-14T22:14:40.6020809Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6021349Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6021865Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6022316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6022742Z     layer_outputs = layer(
2025-08-14T22:14:40.6023148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6023570Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6023994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-14T22:14:40.6024497Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-14T22:14:40.6025038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-14T22:14:40.6025478Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.6025638Z 
2025-08-14T22:14:40.6025747Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6026280Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6026803Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6027245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6027663Z     layer_outputs = layer(
2025-08-14T22:14:40.6028047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:14:40.6028496Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:14:40.6028993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:14:40.6029406Z     return apply_chunking_to_forward(
2025-08-14T22:14:40.6029805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:40.6030197Z     return forward_fn(*input_tensors)
2025-08-14T22:14:40.6030618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-14T22:14:40.6031059Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.6031496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward
2025-08-14T22:14:40.6031912Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.6032059Z 
2025-08-14T22:14:40.6032165Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6032680Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6033264Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6033704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6034116Z     layer_outputs = layer(
2025-08-14T22:14:40.6034508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:14:40.6034964Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:14:40.6035431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:14:40.6035851Z     return apply_chunking_to_forward(
2025-08-14T22:14:40.6036252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:40.6036653Z     return forward_fn(*input_tensors)
2025-08-14T22:14:40.6037081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-14T22:14:40.6037522Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.6037935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-14T22:14:40.6038360Z     hidden_states = self.act_fn(hidden_states)
2025-08-14T22:14:40.6038508Z 
2025-08-14T22:14:40.6038614Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6039146Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6039642Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6040072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6040472Z     layer_outputs = layer(
2025-08-14T22:14:40.6040862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:14:40.6041315Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:14:40.6041776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:14:40.6042197Z     return apply_chunking_to_forward(
2025-08-14T22:14:40.6042598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:40.6042994Z     return forward_fn(*input_tensors)
2025-08-14T22:14:40.6043418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk
2025-08-14T22:14:40.6043890Z     return self.output(hidden_states)
2025-08-14T22:14:40.6044291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward
2025-08-14T22:14:40.6044737Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.6044892Z 
2025-08-14T22:14:40.6045002Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6045539Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6046079Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6046526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6046956Z     layer_outputs = layer(
2025-08-14T22:14:40.6047373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6047800Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6048227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6048682Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6049124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 540, in forward
2025-08-14T22:14:40.6049581Z     query_key_vectors = self.query_key(hidden_states)
2025-08-14T22:14:40.6049751Z 
2025-08-14T22:14:40.6049938Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6050609Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6051153Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6051616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6052056Z     layer_outputs = layer(
2025-08-14T22:14:40.6052462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6052887Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6053318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6053766Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6054206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:14:40.6054742Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:14:40.6055274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-14T22:14:40.6055843Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-14T22:14:40.6056107Z 
2025-08-14T22:14:40.6056215Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6056751Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6057266Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6057711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6058135Z     layer_outputs = layer(
2025-08-14T22:14:40.6058539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6058993Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6059438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6059883Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6060331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:14:40.6060832Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:14:40.6061348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 751, in _hash_vectors
2025-08-14T22:14:40.6061892Z     rotated_vectors = torch.einsum("bmtd,mdhr->bmhtr", vectors, random_rotations)
2025-08-14T22:14:40.6062247Z 
2025-08-14T22:14:40.6062365Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6062907Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6063433Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6063875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6064301Z     layer_outputs = layer(
2025-08-14T22:14:40.6064709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6065134Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6065562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6066012Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6066462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:14:40.6066959Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:14:40.6067473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 754, in _hash_vectors
2025-08-14T22:14:40.6067991Z     rotated_vectors = torch.cat([rotated_vectors, -rotated_vectors], dim=-1)
2025-08-14T22:14:40.6068202Z 
2025-08-14T22:14:40.6068331Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6068860Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6069367Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6069848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6070230Z     layer_outputs = layer(
2025-08-14T22:14:40.6070603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6070999Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6071387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6071791Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6072202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:14:40.6072663Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:14:40.6073154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 755, in _hash_vectors
2025-08-14T22:14:40.6073593Z     buckets = torch.argmax(rotated_vectors, dim=-1)
2025-08-14T22:14:40.6073786Z 
2025-08-14T22:14:40.6073889Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6074405Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6074896Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6075312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6075715Z     layer_outputs = layer(
2025-08-14T22:14:40.6076100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6076540Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6076947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6077355Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6077765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:14:40.6078264Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:14:40.6078865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 796, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:14:40.6079392Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-14T22:14:40.6079849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 182, in _stable_argsort
2025-08-14T22:14:40.6080347Z     scaled_vector = vector.shape[dim] * vector + (scale_offset % vector.shape[dim])
2025-08-14T22:14:40.6080562Z 
2025-08-14T22:14:40.6080645Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6080890Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6081397Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6081882Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6082307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6082710Z     layer_outputs = layer(
2025-08-14T22:14:40.6083085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6083491Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6083890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6084328Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6084763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:14:40.6085326Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:14:40.6085985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 796, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:14:40.6086524Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-14T22:14:40.6086981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 183, in _stable_argsort
2025-08-14T22:14:40.6087435Z     return torch.argsort(scaled_vector, dim=dim)
2025-08-14T22:14:40.6087584Z 
2025-08-14T22:14:40.6087677Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6087897Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6088133Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6088672Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6089174Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6089589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6090051Z     layer_outputs = layer(
2025-08-14T22:14:40.6090458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6090918Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6091337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6091790Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6092245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.6092716Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.6093167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-14T22:14:40.6093716Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.6094285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:14:40.6094795Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:14:40.6095008Z 
2025-08-14T22:14:40.6095090Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6095305Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6095547Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6096058Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6096563Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6096995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6097408Z     layer_outputs = layer(
2025-08-14T22:14:40.6097814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6098229Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6098634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6099080Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6099501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.6099939Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.6100372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-14T22:14:40.6100903Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.6101457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-14T22:14:40.6101936Z     return torch.cat(slices, dim=3)
2025-08-14T22:14:40.6102067Z 
2025-08-14T22:14:40.6102155Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6102391Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6102898Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6103440Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6103861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6104251Z     layer_outputs = layer(
2025-08-14T22:14:40.6104633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6105034Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6105420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6105851Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6106265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 541, in forward
2025-08-14T22:14:40.6106674Z     value_vectors = self.value(hidden_states)
2025-08-14T22:14:40.6106810Z 
2025-08-14T22:14:40.6107088Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6107578Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6108055Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6108467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6108850Z     layer_outputs = layer(
2025-08-14T22:14:40.6109237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6109650Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6110046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6110472Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6110896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.6111333Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.6111762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-14T22:14:40.6112275Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.6112805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:14:40.6113305Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:14:40.6113515Z 
2025-08-14T22:14:40.6113619Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6113865Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6114375Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6114870Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6115289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6115680Z     layer_outputs = layer(
2025-08-14T22:14:40.6116054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6116453Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6116855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6117283Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6117734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.6118170Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.6118605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-14T22:14:40.6119125Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.6119661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-14T22:14:40.6120107Z     return torch.cat(slices, dim=3)
2025-08-14T22:14:40.6120244Z 
2025-08-14T22:14:40.6120348Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6120857Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6121353Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6121774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6122179Z     layer_outputs = layer(
2025-08-14T22:14:40.6122565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6122967Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6123372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6123799Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6124222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 595, in forward
2025-08-14T22:14:40.6124754Z     query_key_vectors = self._gather_by_expansion(query_key_vectors, sorted_bucket_idx_per_hash, num_hashes)
2025-08-14T22:14:40.6125335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1099, in _gather_by_expansion
2025-08-14T22:14:40.6125805Z     return torch.gather(vectors, 2, expanded_idxs)
2025-08-14T22:14:40.6125956Z 
2025-08-14T22:14:40.6126067Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6126571Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6127069Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6127496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6127903Z     layer_outputs = layer(
2025-08-14T22:14:40.6128297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6128709Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6129131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6129563Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6130071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.6130543Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.6131024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 849, in _attend
2025-08-14T22:14:40.6131595Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-14T22:14:40.6131836Z 
2025-08-14T22:14:40.6131949Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6132554Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6133078Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6133520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6133946Z     layer_outputs = layer(
2025-08-14T22:14:40.6134355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6134790Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6135231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6135682Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6136131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.6136589Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.6137055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 845, in _attend
2025-08-14T22:14:40.6137615Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.6138188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:14:40.6138712Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:14:40.6138939Z 
2025-08-14T22:14:40.6139023Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6139143Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6139514Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6139615Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6139917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6139991Z     layer_outputs = layer(
2025-08-14T22:14:40.6140284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6140369Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6140659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6140764Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6141073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.6141187Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.6141484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-14T22:14:40.6141607Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:14:40.6141611Z 
2025-08-14T22:14:40.6141727Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6142092Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6142187Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6142483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6142556Z     layer_outputs = layer(
2025-08-14T22:14:40.6142852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6142950Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6143255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6143358Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6143639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.6143747Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.6144038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-14T22:14:40.6144179Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:14:40.6144183Z 
2025-08-14T22:14:40.6144279Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6144389Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6144760Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6144863Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6145150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6145230Z     layer_outputs = layer(
2025-08-14T22:14:40.6145515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6145595Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6145888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6145984Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6146270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 692, in forward
2025-08-14T22:14:40.6146503Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-14T22:14:40.6146838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 415, in _merge_hidden_size_dims
2025-08-14T22:14:40.6146999Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-14T22:14:40.6147003Z 
2025-08-14T22:14:40.6147110Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6147474Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6147582Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6147894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6147980Z     layer_outputs = layer(
2025-08-14T22:14:40.6148273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6148366Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6148664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-14T22:14:40.6148816Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-14T22:14:40.6149114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-14T22:14:40.6149204Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.6149208Z 
2025-08-14T22:14:40.6149325Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6149680Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6149821Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6150101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6150169Z     layer_outputs = layer(
2025-08-14T22:14:40.6150437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1601, in forward
2025-08-14T22:14:40.6150537Z     attn_output = prev_attn_output + attn_output
2025-08-14T22:14:40.6150560Z 
2025-08-14T22:14:40.6150661Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6151009Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6151096Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6151372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6151447Z     layer_outputs = layer(
2025-08-14T22:14:40.6151717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:14:40.6151842Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:14:40.6152120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:14:40.6152200Z     return apply_chunking_to_forward(
2025-08-14T22:14:40.6152473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:40.6152552Z     return forward_fn(*input_tensors)
2025-08-14T22:14:40.6152842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-14T22:14:40.6152940Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.6153209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward
2025-08-14T22:14:40.6153299Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.6153302Z 
2025-08-14T22:14:40.6153406Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6153747Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6153846Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6154138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6154207Z     layer_outputs = layer(
2025-08-14T22:14:40.6154491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:14:40.6154612Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:14:40.6154891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:14:40.6154968Z     return apply_chunking_to_forward(
2025-08-14T22:14:40.6155231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:40.6155314Z     return forward_fn(*input_tensors)
2025-08-14T22:14:40.6155613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-14T22:14:40.6155702Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.6155974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-14T22:14:40.6156093Z     hidden_states = self.act_fn(hidden_states)
2025-08-14T22:14:40.6156097Z 
2025-08-14T22:14:40.6156209Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6156549Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6156643Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6156913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6156998Z     layer_outputs = layer(
2025-08-14T22:14:40.6157277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:14:40.6157401Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:14:40.6157679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:14:40.6157763Z     return apply_chunking_to_forward(
2025-08-14T22:14:40.6158029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:40.6158111Z     return forward_fn(*input_tensors)
2025-08-14T22:14:40.6158403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk
2025-08-14T22:14:40.6158477Z     return self.output(hidden_states)
2025-08-14T22:14:40.6158767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward
2025-08-14T22:14:40.6158850Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.6158853Z 
2025-08-14T22:14:40.6158965Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6159313Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6159400Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6159679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6159746Z     layer_outputs = layer(
2025-08-14T22:14:40.6160020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:14:40.6160151Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:14:40.6160154Z 
2025-08-14T22:14:40.6160255Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6160624Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6160715Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6160983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6161059Z     layer_outputs = layer(
2025-08-14T22:14:40.6161329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6161412Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6161681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6161775Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6162294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1198, in forward
2025-08-14T22:14:40.6162385Z     query_vectors = self.query(hidden_states)
2025-08-14T22:14:40.6162444Z 
2025-08-14T22:14:40.6162556Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6162923Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6163012Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6163294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6163363Z     layer_outputs = layer(
2025-08-14T22:14:40.6163650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6163766Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6164053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6164158Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6164449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1199, in forward
2025-08-14T22:14:40.6164533Z     key_vectors = self.key(hidden_states)
2025-08-14T22:14:40.6164537Z 
2025-08-14T22:14:40.6164633Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6164726Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6164836Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6165177Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6165266Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6165545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6165612Z     layer_outputs = layer(
2025-08-14T22:14:40.6165885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6165966Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6166235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6166330Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6166600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-14T22:14:40.6166785Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.6167083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:14:40.6167262Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:14:40.6167268Z 
2025-08-14T22:14:40.6167362Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6167446Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6167555Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6167930Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6168025Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6168324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6168399Z     layer_outputs = layer(
2025-08-14T22:14:40.6168687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6168775Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6169077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6169188Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6169481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-14T22:14:40.6169672Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.6170033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-14T22:14:40.6170123Z     return torch.cat(slices, dim=3)
2025-08-14T22:14:40.6170151Z 
2025-08-14T22:14:40.6170263Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6170642Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6170739Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6171049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6171121Z     layer_outputs = layer(
2025-08-14T22:14:40.6171405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6171493Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6171781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6171876Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6172167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-14T22:14:40.6172330Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-14T22:14:40.6172335Z 
2025-08-14T22:14:40.6172450Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6172810Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6172905Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6173197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6173269Z     layer_outputs = layer(
2025-08-14T22:14:40.6173561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6173641Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6173945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6174050Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6174340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-14T22:14:40.6174503Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-14T22:14:40.6174506Z 
2025-08-14T22:14:40.6174615Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6174978Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6175081Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6175370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6175449Z     layer_outputs = layer(
2025-08-14T22:14:40.6175739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6175837Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6176148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6176243Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6176529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1200, in forward
2025-08-14T22:14:40.6176624Z     value_vectors = self.value(hidden_states)
2025-08-14T22:14:40.6176628Z 
2025-08-14T22:14:40.6176712Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6176864Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6176972Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6177347Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6177451Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6177748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6177825Z     layer_outputs = layer(
2025-08-14T22:14:40.6178121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6178198Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6178502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6178598Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6178895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1266, in forward
2025-08-14T22:14:40.6179114Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.6179433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:14:40.6179601Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:14:40.6179605Z 
2025-08-14T22:14:40.6179690Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6179773Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6179890Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6180257Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6180356Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6180647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6180717Z     layer_outputs = layer(
2025-08-14T22:14:40.6180991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6181063Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6181324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6181421Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6181687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-14T22:14:40.6181812Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:14:40.6181816Z 
2025-08-14T22:14:40.6181916Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6182252Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6182365Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6182644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6182719Z     layer_outputs = layer(
2025-08-14T22:14:40.6182984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6183056Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6183326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6183432Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6183701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-14T22:14:40.6183813Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:14:40.6183819Z 
2025-08-14T22:14:40.6183918Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6184255Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6184341Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6184601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6184674Z     layer_outputs = layer(
2025-08-14T22:14:40.6184934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6185016Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6185278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6185366Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6185637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1324, in forward
2025-08-14T22:14:40.6185840Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-14T22:14:40.6186150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 415, in _merge_hidden_size_dims
2025-08-14T22:14:40.6186291Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-14T22:14:40.6186295Z 
2025-08-14T22:14:40.6186393Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6186763Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6186853Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6187125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6187191Z     layer_outputs = layer(
2025-08-14T22:14:40.6187454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6187533Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6187798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-14T22:14:40.6187944Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-14T22:14:40.6188208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-14T22:14:40.6188290Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.6188314Z 
2025-08-14T22:14:40.6188421Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6188766Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6188853Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6189124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6189189Z     layer_outputs = layer(
2025-08-14T22:14:40.6189458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:14:40.6189595Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:14:40.6189857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:14:40.6189942Z     return apply_chunking_to_forward(
2025-08-14T22:14:40.6190200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:40.6190280Z     return forward_fn(*input_tensors)
2025-08-14T22:14:40.6190561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-14T22:14:40.6190641Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.6190910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward
2025-08-14T22:14:40.6190988Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.6190993Z 
2025-08-14T22:14:40.6191100Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6191431Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6191519Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6191788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6191852Z     layer_outputs = layer(
2025-08-14T22:14:40.6192112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:14:40.6192237Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:14:40.6192500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:14:40.6192581Z     return apply_chunking_to_forward(
2025-08-14T22:14:40.6192835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:40.6192926Z     return forward_fn(*input_tensors)
2025-08-14T22:14:40.6193218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-14T22:14:40.6193298Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.6193569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-14T22:14:40.6193650Z     hidden_states = self.act_fn(hidden_states)
2025-08-14T22:14:40.6193653Z 
2025-08-14T22:14:40.6193752Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6194095Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6194180Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6194454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6194536Z     layer_outputs = layer(
2025-08-14T22:14:40.6194814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:14:40.6194939Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:14:40.6195199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:14:40.6195272Z     return apply_chunking_to_forward(
2025-08-14T22:14:40.6195531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:40.6196326Z     return forward_fn(*input_tensors)
2025-08-14T22:14:40.6196613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk
2025-08-14T22:14:40.6196688Z     return self.output(hidden_states)
2025-08-14T22:14:40.6196952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward
2025-08-14T22:14:40.6197041Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.6197045Z 
2025-08-14T22:14:40.6197145Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6197483Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6197569Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6197831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6197910Z     layer_outputs = layer(
2025-08-14T22:14:40.6198172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6198247Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6198531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6198621Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6198899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 540, in forward
2025-08-14T22:14:40.6198993Z     query_key_vectors = self.query_key(hidden_states)
2025-08-14T22:14:40.6198996Z 
2025-08-14T22:14:40.6199095Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6199440Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6199537Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6199836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6199906Z     layer_outputs = layer(
2025-08-14T22:14:40.6200177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6200256Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6200518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6200606Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6200880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:14:40.6201029Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:14:40.6201321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-14T22:14:40.6201532Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-14T22:14:40.6201536Z 
2025-08-14T22:14:40.6201654Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6202006Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6202094Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6202376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6202443Z     layer_outputs = layer(
2025-08-14T22:14:40.6202734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6202816Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6203091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6203187Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6203460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:14:40.6203605Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:14:40.6203902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 751, in _hash_vectors
2025-08-14T22:14:40.6204057Z     rotated_vectors = torch.einsum("bmtd,mdhr->bmhtr", vectors, random_rotations)
2025-08-14T22:14:40.6204062Z 
2025-08-14T22:14:40.6204170Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6204517Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6204607Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6204890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6204956Z     layer_outputs = layer(
2025-08-14T22:14:40.6205228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6205308Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6205579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6205674Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6205946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:14:40.6206164Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:14:40.6206463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 754, in _hash_vectors
2025-08-14T22:14:40.6206608Z     rotated_vectors = torch.cat([rotated_vectors, -rotated_vectors], dim=-1)
2025-08-14T22:14:40.6206611Z 
2025-08-14T22:14:40.6206722Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6207064Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6207155Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6207434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6207504Z     layer_outputs = layer(
2025-08-14T22:14:40.6207781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6207873Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6208155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6208252Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6208521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:14:40.6208671Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:14:40.6208975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 755, in _hash_vectors
2025-08-14T22:14:40.6209101Z     buckets = torch.argmax(rotated_vectors, dim=-1)
2025-08-14T22:14:40.6209105Z 
2025-08-14T22:14:40.6209222Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6209584Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6209676Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6210028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6210099Z     layer_outputs = layer(
2025-08-14T22:14:40.6210382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6210455Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6210726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6210829Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6211101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:14:40.6211311Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:14:40.6211703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 796, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:14:40.6211817Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-14T22:14:40.6212138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 182, in _stable_argsort
2025-08-14T22:14:40.6212303Z     scaled_vector = vector.shape[dim] * vector + (scale_offset % vector.shape[dim])
2025-08-14T22:14:40.6212308Z 
2025-08-14T22:14:40.6212403Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6212511Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6212898Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6213005Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6213298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6213371Z     layer_outputs = layer(
2025-08-14T22:14:40.6213667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6213746Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6214044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6214140Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6214438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:14:40.6214648Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:14:40.6215094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 796, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:14:40.6215208Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-14T22:14:40.6215505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 183, in _stable_argsort
2025-08-14T22:14:40.6215603Z     return torch.argsort(scaled_vector, dim=dim)
2025-08-14T22:14:40.6215607Z 
2025-08-14T22:14:40.6215700Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6215802Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6215919Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6216281Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6216378Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6216677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6216748Z     layer_outputs = layer(
2025-08-14T22:14:40.6217045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6217132Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6217430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6217533Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6217818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.6217930Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.6218228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-14T22:14:40.6218450Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.6218764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:14:40.6218931Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:14:40.6218935Z 
2025-08-14T22:14:40.6219019Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6219110Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6219220Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6219614Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6219713Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6220007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6220086Z     layer_outputs = layer(
2025-08-14T22:14:40.6220375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6220452Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6220749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6220845Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6221148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.6221257Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.6221582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-14T22:14:40.6221810Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.6222116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-14T22:14:40.6222203Z     return torch.cat(slices, dim=3)
2025-08-14T22:14:40.6222207Z 
2025-08-14T22:14:40.6222288Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6222397Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6222788Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6222885Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6223179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6223260Z     layer_outputs = layer(
2025-08-14T22:14:40.6223551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6223636Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6223928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6224021Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6224319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 541, in forward
2025-08-14T22:14:40.6224410Z     value_vectors = self.value(hidden_states)
2025-08-14T22:14:40.6224413Z 
2025-08-14T22:14:40.6224531Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6224904Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6224999Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6225296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6225366Z     layer_outputs = layer(
2025-08-14T22:14:40.6225660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6225737Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6226026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6226124Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6226432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.6226545Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.6226832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-14T22:14:40.6227010Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.6227307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:14:40.6227455Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:14:40.6227460Z 
2025-08-14T22:14:40.6227538Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6227648Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6227993Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6228122Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6228396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6228462Z     layer_outputs = layer(
2025-08-14T22:14:40.6228742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6228817Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6229094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6229200Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6229471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.6229582Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.6229851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-14T22:14:40.6230031Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.6230323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-14T22:14:40.6230399Z     return torch.cat(slices, dim=3)
2025-08-14T22:14:40.6230403Z 
2025-08-14T22:14:40.6230513Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6230856Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6230948Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6231227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6231298Z     layer_outputs = layer(
2025-08-14T22:14:40.6231572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6231645Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6231913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6232010Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6232279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 595, in forward
2025-08-14T22:14:40.6232496Z     query_key_vectors = self._gather_by_expansion(query_key_vectors, sorted_bucket_idx_per_hash, num_hashes)
2025-08-14T22:14:40.6232830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1099, in _gather_by_expansion
2025-08-14T22:14:40.6232930Z     return torch.gather(vectors, 2, expanded_idxs)
2025-08-14T22:14:40.6232934Z 
2025-08-14T22:14:40.6233043Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6233381Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6233477Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6233751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6233821Z     layer_outputs = layer(
2025-08-14T22:14:40.6234100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6234176Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6234443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6234584Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6234853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.6234962Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.6235230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 849, in _attend
2025-08-14T22:14:40.6235385Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-14T22:14:40.6235404Z 
2025-08-14T22:14:40.6235516Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6235860Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6235960Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6236235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6236303Z     layer_outputs = layer(
2025-08-14T22:14:40.6236581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6236655Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6236927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6237025Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6237296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.6237405Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.6237678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 845, in _attend
2025-08-14T22:14:40.6237872Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:14:40.6238170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:14:40.6238316Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:14:40.6238320Z 
2025-08-14T22:14:40.6238408Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6238512Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6238857Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6238979Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6239257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6239336Z     layer_outputs = layer(
2025-08-14T22:14:40.6239625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6239702Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6239999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6240091Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6240379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.6240492Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.6240780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-14T22:14:40.6240968Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:14:40.6240972Z 
2025-08-14T22:14:40.6241082Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6241444Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6241545Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6241832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6241933Z     layer_outputs = layer(
2025-08-14T22:14:40.6242224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6242302Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6242603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6242700Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6243004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:14:40.6243110Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:14:40.6243399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-14T22:14:40.6243529Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:14:40.6243534Z 
2025-08-14T22:14:40.6243619Z cudagraph partition due to non gpu ops
2025-08-14T22:14:40.6243728Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6244107Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6244202Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6244504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6244574Z     layer_outputs = layer(
2025-08-14T22:14:40.6244867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6244950Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6245244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:14:40.6245345Z     self_attention_outputs = self.self_attention(
2025-08-14T22:14:40.6245635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 692, in forward
2025-08-14T22:14:40.6245874Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-14T22:14:40.6246223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 415, in _merge_hidden_size_dims
2025-08-14T22:14:40.6246376Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-14T22:14:40.6246379Z 
2025-08-14T22:14:40.6246493Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6246861Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6246958Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6247257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6247328Z     layer_outputs = layer(
2025-08-14T22:14:40.6247619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:14:40.6247736Z     attn_outputs = self.attention(
2025-08-14T22:14:40.6248023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-14T22:14:40.6248181Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-14T22:14:40.6248467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-14T22:14:40.6248557Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.6248575Z 
2025-08-14T22:14:40.6248693Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6249058Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6249159Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6249454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6249526Z     layer_outputs = layer(
2025-08-14T22:14:40.6249822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:14:40.6250164Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:14:40.6250473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:14:40.6250563Z     return apply_chunking_to_forward(
2025-08-14T22:14:40.6250856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:40.6250949Z     return forward_fn(*input_tensors)
2025-08-14T22:14:40.6251268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-14T22:14:40.6251375Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.6251671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward
2025-08-14T22:14:40.6251758Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.6251762Z 
2025-08-14T22:14:40.6251880Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6252243Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6252337Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6252632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6252735Z     layer_outputs = layer(
2025-08-14T22:14:40.6253038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:14:40.6253171Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:14:40.6253457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:14:40.6253546Z     return apply_chunking_to_forward(
2025-08-14T22:14:40.6253826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:40.6253910Z     return forward_fn(*input_tensors)
2025-08-14T22:14:40.6254220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-14T22:14:40.6254305Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.6254602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-14T22:14:40.6254733Z     hidden_states = self.act_fn(hidden_states)
2025-08-14T22:14:40.6254737Z 
2025-08-14T22:14:40.6254849Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6255217Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6255308Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6255602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6255696Z     layer_outputs = layer(
2025-08-14T22:14:40.6255983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:14:40.6256122Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:14:40.6256415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:14:40.6256501Z     return apply_chunking_to_forward(
2025-08-14T22:14:40.6256780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:40.6256859Z     return forward_fn(*input_tensors)
2025-08-14T22:14:40.6257175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk
2025-08-14T22:14:40.6257255Z     return self.output(hidden_states)
2025-08-14T22:14:40.6257544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward
2025-08-14T22:14:40.6257637Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:40.6257641Z 
2025-08-14T22:14:40.6257752Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6258130Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6258225Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6258513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:14:40.6258592Z     layer_outputs = layer(
2025-08-14T22:14:40.6258882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:14:40.6259026Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:14:40.6259031Z 
2025-08-14T22:14:40.6259132Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:40.6259496Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:14:40.6259593Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:14:40.6259871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1753, in forward
2025-08-14T22:14:40.6259989Z     return torch.cat([attn_output, hidden_states], dim=-1)
2025-08-14T22:14:40.6259993Z 
2025-08-14T22:14:44.4131178Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:44.4131890Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 2495, in torch_dynamo_resume_in_forward_at_2481
2025-08-14T22:14:44.4132491Z     logits = self.lm_head(sequence_output)
2025-08-14T22:14:44.4132978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1886, in forward
2025-08-14T22:14:44.4133642Z     return apply_chunking_to_forward(self.forward_chunk, self.chunk_size_lm_head, self.seq_len_dim, hidden_states)
2025-08-14T22:14:44.4134845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:44.4135306Z     return forward_fn(*input_tensors)
2025-08-14T22:14:44.4135795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1889, in forward_chunk
2025-08-14T22:14:44.4136296Z     hidden_states = self.decoder(hidden_states)
2025-08-14T22:14:44.4136462Z 
2025-08-14T22:14:44.6596590Z Compilation time (from dynamo_timed): 21.235931692
2025-08-14T22:14:44.6597380Z pass
2025-08-14T22:14:44.6597921Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:14:44.6599352Z TIMING: gc:0.01375 entire_frame_compile:21.23593 _recursive_pre_grad_passes:0.01533 _recursive_joint_graph_passes:0.36291 _recursive_post_grad_passes:0.08084 async_compile.wait:3.20443 code_gen:7.06484 inductor_compile:9.2255 backend_compile:11.35486 total_wall_time:21.23593
2025-08-14T22:14:44.6600892Z STATS: call_* op count: 481 | FakeTensorMode.__torch_dispatch__:12351 | ProxyTorchDispatchMode.__torch_dispatch__:4316 | FakeTensor.__torch_dispatch__:4037 | attempt fast:1 | fast is_contiguous:1
2025-08-14T22:14:44.6601766Z Dynamo produced 7 graphs covering 481 ops with 8 graph breaks (4 unique)
2025-08-14T22:14:49.2030709Z 
2025-08-14T22:14:49.9020096Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:14:49.9020344Z 
2025-08-14T22:14:49.9068824Z config.json:   0% 0.00/615 [00:00<?, ?B/s]
2025-08-14T22:14:49.9073129Z config.json: 100% 615/615 [00:00<00:00, 139kB/s]
2025-08-14T22:14:55.2859266Z 
2025-08-14T22:14:55.2860166Z loading model: 0it [00:06, ?it/s]
2025-08-14T22:14:55.2882975Z cpu  eval  hf_Roberta_base                    
2025-08-14T22:14:58.4897241Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:15:00.0840130Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:15:01.7343842Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:15:18.8024198Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8024768Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8025125Z     return mod(**inputs)
2025-08-14T22:15:18.8025587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8026045Z     outputs = self.roberta(
2025-08-14T22:15:18.8026497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 817, in forward
2025-08-14T22:15:18.8026957Z     embedding_output = self.embeddings(
2025-08-14T22:15:18.8027748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 90, in forward
2025-08-14T22:15:18.8028368Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx, past_key_values_length)
2025-08-14T22:15:18.8029075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1576, in create_position_ids_from_input_ids
2025-08-14T22:15:18.8029610Z     mask = input_ids.ne(padding_idx).int()
2025-08-14T22:15:18.8029777Z 
2025-08-14T22:15:18.8029883Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8030142Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8030394Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8030624Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8030847Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8031068Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8031305Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8031526Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8031811Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8032091Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8032323Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8032558Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8032816Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8033225Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8033607Z     return mod(**inputs)
2025-08-14T22:15:18.8034047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8034609Z     outputs = self.roberta(
2025-08-14T22:15:18.8035034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 817, in forward
2025-08-14T22:15:18.8035483Z     embedding_output = self.embeddings(
2025-08-14T22:15:18.8035919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 90, in forward
2025-08-14T22:15:18.8036503Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx, past_key_values_length)
2025-08-14T22:15:18.8037174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1577, in create_position_ids_from_input_ids
2025-08-14T22:15:18.8037837Z     incremental_indices = (torch.cumsum(mask, dim=1).type_as(mask) + past_key_values_length) * mask
2025-08-14T22:15:18.8038103Z 
2025-08-14T22:15:18.8038222Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8038631Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8038994Z     return mod(**inputs)
2025-08-14T22:15:18.8039423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8039882Z     outputs = self.roberta(
2025-08-14T22:15:18.8040348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 817, in forward
2025-08-14T22:15:18.8040807Z     embedding_output = self.embeddings(
2025-08-14T22:15:18.8041246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 90, in forward
2025-08-14T22:15:18.8041838Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx, past_key_values_length)
2025-08-14T22:15:18.8042533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1577, in create_position_ids_from_input_ids
2025-08-14T22:15:18.8043165Z     incremental_indices = (torch.cumsum(mask, dim=1).type_as(mask) + past_key_values_length) * mask
2025-08-14T22:15:18.8043448Z 
2025-08-14T22:15:18.8043569Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8043995Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8044360Z     return mod(**inputs)
2025-08-14T22:15:18.8044795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8045241Z     outputs = self.roberta(
2025-08-14T22:15:18.8045676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 817, in forward
2025-08-14T22:15:18.8046136Z     embedding_output = self.embeddings(
2025-08-14T22:15:18.8046588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 119, in forward
2025-08-14T22:15:18.8047053Z     embeddings += position_embeddings
2025-08-14T22:15:18.8047207Z 
2025-08-14T22:15:18.8047324Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8047757Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8048136Z     return mod(**inputs)
2025-08-14T22:15:18.8048577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8049031Z     outputs = self.roberta(
2025-08-14T22:15:18.8049462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8049915Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8050546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8051039Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8051427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8051836Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8052291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8052750Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8053174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8053593Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8054038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8054703Z     self_outputs = self.self(
2025-08-14T22:15:18.8055110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8055531Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8056029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-14T22:15:18.8056643Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:15:18.8056946Z 
2025-08-14T22:15:18.8057063Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8057465Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8057843Z     return mod(**inputs)
2025-08-14T22:15:18.8058263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8058714Z     outputs = self.roberta(
2025-08-14T22:15:18.8059197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8059692Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8060140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8060596Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8060986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8061377Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8061830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8062614Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8063046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8063457Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8063902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8064421Z     self_outputs = self.self(
2025-08-14T22:15:18.8064881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8065286Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8065721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-14T22:15:18.8066165Z     self.key(current_states)
2025-08-14T22:15:18.8066292Z 
2025-08-14T22:15:18.8066408Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8066810Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8067973Z     return mod(**inputs)
2025-08-14T22:15:18.8068407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8068849Z     outputs = self.roberta(
2025-08-14T22:15:18.8069286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8069744Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8070184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8070638Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8071023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8071421Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8071870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8072333Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8072762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8073178Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8073609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8074057Z     self_outputs = self.self(
2025-08-14T22:15:18.8074458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8074857Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8075291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-14T22:15:18.8075743Z     self.value(current_states)
2025-08-14T22:15:18.8075873Z 
2025-08-14T22:15:18.8075970Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8076229Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8076664Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8077022Z     return mod(**inputs)
2025-08-14T22:15:18.8077442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8077893Z     outputs = self.roberta(
2025-08-14T22:15:18.8078318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8078763Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8079199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8079647Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8080030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8080427Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8080919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8081375Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8081790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8082185Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8082612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8083047Z     self_outputs = self.self(
2025-08-14T22:15:18.8083467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8083871Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8084311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:15:18.8084831Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:18.8085040Z 
2025-08-14T22:15:18.8085162Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8085552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8085910Z     return mod(**inputs)
2025-08-14T22:15:18.8086342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8086794Z     outputs = self.roberta(
2025-08-14T22:15:18.8087224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8087677Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8088124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8088571Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8088958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8089359Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8089809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8090359Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8090793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8091212Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8091646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-14T22:15:18.8092190Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:15:18.8092714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-14T22:15:18.8093175Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8093330Z 
2025-08-14T22:15:18.8093442Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8093836Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8094192Z     return mod(**inputs)
2025-08-14T22:15:18.8094610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8095084Z     outputs = self.roberta(
2025-08-14T22:15:18.8095510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8095957Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8096398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8096870Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8097244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8097629Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8098058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8098506Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8098942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8099387Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8099861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8100395Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8100892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-14T22:15:18.8101337Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8101495Z 
2025-08-14T22:15:18.8101605Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8101993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8102342Z     return mod(**inputs)
2025-08-14T22:15:18.8102754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8103197Z     outputs = self.roberta(
2025-08-14T22:15:18.8103617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8104053Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8104488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8104927Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8105300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8105687Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8106169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8106620Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8107050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8107499Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8107972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8108491Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8108971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:15:18.8109448Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:15:18.8109862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:15:18.8110228Z     return self.act(input)
2025-08-14T22:15:18.8110350Z 
2025-08-14T22:15:18.8110461Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8110845Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8111197Z     return mod(**inputs)
2025-08-14T22:15:18.8111613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8112091Z     outputs = self.roberta(
2025-08-14T22:15:18.8112506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8112944Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8113364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8113802Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8114169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8114573Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8115003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8115448Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8115881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8116296Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8116759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 579, in feed_forward_chunk
2025-08-14T22:15:18.8117288Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:15:18.8117782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-14T22:15:18.8118221Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8118376Z 
2025-08-14T22:15:18.8118484Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8118864Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8119210Z     return mod(**inputs)
2025-08-14T22:15:18.8119623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8120059Z     outputs = self.roberta(
2025-08-14T22:15:18.8120471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8120918Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8121370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8121815Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8122196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8122601Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8123061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8123506Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8123926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8124325Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8124763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8125207Z     self_outputs = self.self(
2025-08-14T22:15:18.8125600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8126007Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8126440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-14T22:15:18.8127101Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:15:18.8127396Z 
2025-08-14T22:15:18.8127512Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8127911Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8128269Z     return mod(**inputs)
2025-08-14T22:15:18.8128698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8129145Z     outputs = self.roberta(
2025-08-14T22:15:18.8129575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8130148Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8130593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8131045Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8131429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8131827Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8132272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8132731Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8133157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8133562Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8134006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8134460Z     self_outputs = self.self(
2025-08-14T22:15:18.8134860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8135267Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8135699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-14T22:15:18.8136142Z     self.key(current_states)
2025-08-14T22:15:18.8136267Z 
2025-08-14T22:15:18.8136388Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8136778Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8137130Z     return mod(**inputs)
2025-08-14T22:15:18.8137561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8138007Z     outputs = self.roberta(
2025-08-14T22:15:18.8138446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8138883Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8139632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8140058Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8140429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8140813Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8141257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8141692Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8142104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8142503Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8142953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8143385Z     self_outputs = self.self(
2025-08-14T22:15:18.8143766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8144161Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8144573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-14T22:15:18.8145007Z     self.value(current_states)
2025-08-14T22:15:18.8145151Z 
2025-08-14T22:15:18.8145247Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8145500Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8145882Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8146229Z     return mod(**inputs)
2025-08-14T22:15:18.8146655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8147087Z     outputs = self.roberta(
2025-08-14T22:15:18.8147505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8147985Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8148419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8148847Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8149224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8149613Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8150049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8150502Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8150913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8151315Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8151735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8152168Z     self_outputs = self.self(
2025-08-14T22:15:18.8152551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8152942Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8153368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:15:18.8153890Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:18.8154092Z 
2025-08-14T22:15:18.8154208Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8154583Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8154928Z     return mod(**inputs)
2025-08-14T22:15:18.8155347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8155786Z     outputs = self.roberta(
2025-08-14T22:15:18.8156192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8156626Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8157058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8157485Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8157883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8158289Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8158733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8159174Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8159582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8159978Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8160394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-14T22:15:18.8160904Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:15:18.8161395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-14T22:15:18.8161835Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8162135Z 
2025-08-14T22:15:18.8162258Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8162646Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8162998Z     return mod(**inputs)
2025-08-14T22:15:18.8163421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8163853Z     outputs = self.roberta(
2025-08-14T22:15:18.8164278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8164727Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8165157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8165605Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8165989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8166381Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8166818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8167276Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8167716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8168154Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8168633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8169222Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8169711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-14T22:15:18.8170245Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8170402Z 
2025-08-14T22:15:18.8170518Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8170933Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8171332Z     return mod(**inputs)
2025-08-14T22:15:18.8171747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8172191Z     outputs = self.roberta(
2025-08-14T22:15:18.8172613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8173055Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8173540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8174000Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8174371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8174754Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8175200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8175652Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8176117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8176535Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8177005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8177529Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8178020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:15:18.8178509Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:15:18.8178920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:15:18.8179285Z     return self.act(input)
2025-08-14T22:15:18.8179407Z 
2025-08-14T22:15:18.8179516Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8179902Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8180249Z     return mod(**inputs)
2025-08-14T22:15:18.8180672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8181103Z     outputs = self.roberta(
2025-08-14T22:15:18.8181525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8181958Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8182390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8182817Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8183190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8183574Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8184006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8184494Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8184939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8185362Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8185820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 579, in feed_forward_chunk
2025-08-14T22:15:18.8186352Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:15:18.8186851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-14T22:15:18.8187300Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8187449Z 
2025-08-14T22:15:18.8187558Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8187948Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8188301Z     return mod(**inputs)
2025-08-14T22:15:18.8188747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8189163Z     outputs = self.roberta(
2025-08-14T22:15:18.8189553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8189981Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8190403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8190836Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8191229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8191620Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8192064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8192517Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8192917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8193315Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8193747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8194181Z     self_outputs = self.self(
2025-08-14T22:15:18.8194573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8194950Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8195356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-14T22:15:18.8195914Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:15:18.8196185Z 
2025-08-14T22:15:18.8196303Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8196670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8197003Z     return mod(**inputs)
2025-08-14T22:15:18.8197405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8197819Z     outputs = self.roberta(
2025-08-14T22:15:18.8198219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8198645Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8199088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8199516Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8199891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8200277Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8200708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8201152Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8201556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8201952Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8202369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8202801Z     self_outputs = self.self(
2025-08-14T22:15:18.8203186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8203604Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8204038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-14T22:15:18.8204474Z     self.key(current_states)
2025-08-14T22:15:18.8204596Z 
2025-08-14T22:15:18.8204716Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8205091Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8205588Z     return mod(**inputs)
2025-08-14T22:15:18.8206019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8206486Z     outputs = self.roberta(
2025-08-14T22:15:18.8206900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8207340Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8207775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8208200Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8208576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8208965Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8209405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8209843Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8210314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8210721Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8211182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8211607Z     self_outputs = self.self(
2025-08-14T22:15:18.8211996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8212387Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8212796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-14T22:15:18.8213234Z     self.value(current_states)
2025-08-14T22:15:18.8213366Z 
2025-08-14T22:15:18.8213454Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8213718Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8214100Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8214446Z     return mod(**inputs)
2025-08-14T22:15:18.8214891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8215324Z     outputs = self.roberta(
2025-08-14T22:15:18.8215738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8216169Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8216598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8217026Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8217398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8217783Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8218222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8218685Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8219118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8219517Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8219928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8220360Z     self_outputs = self.self(
2025-08-14T22:15:18.8220738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8221132Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8221562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:15:18.8222053Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:18.8222249Z 
2025-08-14T22:15:18.8222366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8222743Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8223084Z     return mod(**inputs)
2025-08-14T22:15:18.8223497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8223935Z     outputs = self.roberta(
2025-08-14T22:15:18.8224346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8224779Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8225206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8225637Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8226000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8226388Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8226825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8227256Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8227664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8228093Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8228515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-14T22:15:18.8228996Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:15:18.8229513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-14T22:15:18.8229959Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8230111Z 
2025-08-14T22:15:18.8230232Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8230606Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8230953Z     return mod(**inputs)
2025-08-14T22:15:18.8231366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8231791Z     outputs = self.roberta(
2025-08-14T22:15:18.8232204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8232635Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8233066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8233490Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8233926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8234332Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8234765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8235214Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8235646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8236068Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8236567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8237090Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8237589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-14T22:15:18.8238044Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8238191Z 
2025-08-14T22:15:18.8238300Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8238687Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8239033Z     return mod(**inputs)
2025-08-14T22:15:18.8239452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8239882Z     outputs = self.roberta(
2025-08-14T22:15:18.8240301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8240743Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8241171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8241612Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8241983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8242370Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8242808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8243256Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8243697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8244116Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8244610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8245128Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8245617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:15:18.8246083Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:15:18.8246499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:15:18.8246871Z     return self.act(input)
2025-08-14T22:15:18.8246997Z 
2025-08-14T22:15:18.8247117Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8247508Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8247873Z     return mod(**inputs)
2025-08-14T22:15:18.8248289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8248716Z     outputs = self.roberta(
2025-08-14T22:15:18.8249197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8249633Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8250166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8250619Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8251013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8251419Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8251927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8252380Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8252825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8253248Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8253706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 579, in feed_forward_chunk
2025-08-14T22:15:18.8254238Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:15:18.8254742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-14T22:15:18.8255202Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8255363Z 
2025-08-14T22:15:18.8255473Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8255857Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8256202Z     return mod(**inputs)
2025-08-14T22:15:18.8256622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8257060Z     outputs = self.roberta(
2025-08-14T22:15:18.8257484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8257931Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8258374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8258819Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8259190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8259588Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8260070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8260526Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8260956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8261366Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8261794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8262385Z     self_outputs = self.self(
2025-08-14T22:15:18.8262793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8263209Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8263653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-14T22:15:18.8264270Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:15:18.8264561Z 
2025-08-14T22:15:18.8264746Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8265166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8265545Z     return mod(**inputs)
2025-08-14T22:15:18.8265977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8266429Z     outputs = self.roberta(
2025-08-14T22:15:18.8266857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8267311Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8267790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8268229Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8268616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8269018Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8269469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8269919Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8270342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8270752Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8271179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8271627Z     self_outputs = self.self(
2025-08-14T22:15:18.8272025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8272436Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8272865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-14T22:15:18.8273316Z     self.key(current_states)
2025-08-14T22:15:18.8273442Z 
2025-08-14T22:15:18.8273565Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8273958Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8274306Z     return mod(**inputs)
2025-08-14T22:15:18.8274744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8275180Z     outputs = self.roberta(
2025-08-14T22:15:18.8275590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8276078Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8276515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8276950Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8277316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8277705Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8278146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8278582Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8278990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8279391Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8279813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8280258Z     self_outputs = self.self(
2025-08-14T22:15:18.8280660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8281063Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8281488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-14T22:15:18.8281921Z     self.value(current_states)
2025-08-14T22:15:18.8282054Z 
2025-08-14T22:15:18.8282140Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8282397Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8282776Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8283141Z     return mod(**inputs)
2025-08-14T22:15:18.8283561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8284000Z     outputs = self.roberta(
2025-08-14T22:15:18.8284413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8284850Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8285280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8285705Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8286078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8286463Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8286902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8287339Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8287754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8288156Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8288581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8289005Z     self_outputs = self.self(
2025-08-14T22:15:18.8289392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8289794Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8290293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:15:18.8290818Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:18.8291029Z 
2025-08-14T22:15:18.8291180Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8291584Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8291925Z     return mod(**inputs)
2025-08-14T22:15:18.8292358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8292811Z     outputs = self.roberta(
2025-08-14T22:15:18.8293233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8293684Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8294125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8294574Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8294946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8295343Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8295849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8296309Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8296723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8297136Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8297572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-14T22:15:18.8298072Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:15:18.8298604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-14T22:15:18.8299071Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8299228Z 
2025-08-14T22:15:18.8299350Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8299733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8300085Z     return mod(**inputs)
2025-08-14T22:15:18.8300512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8300950Z     outputs = self.roberta(
2025-08-14T22:15:18.8301349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8301757Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8302166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8302571Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8302925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8303288Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8303706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8304120Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8304531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8304930Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8305371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8305852Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8306339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-14T22:15:18.8306765Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8306905Z 
2025-08-14T22:15:18.8307011Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8307375Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8307708Z     return mod(**inputs)
2025-08-14T22:15:18.8308103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8308510Z     outputs = self.roberta(
2025-08-14T22:15:18.8308910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8309323Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8309731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8310133Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8310528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8310890Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8311291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8311712Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8312119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8312517Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8312968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8313460Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8313930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:15:18.8314390Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:15:18.8314781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:15:18.8315134Z     return self.act(input)
2025-08-14T22:15:18.8315251Z 
2025-08-14T22:15:18.8315367Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8315729Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8316067Z     return mod(**inputs)
2025-08-14T22:15:18.8316472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8316891Z     outputs = self.roberta(
2025-08-14T22:15:18.8317287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8317705Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8318117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8318528Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8318886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8319259Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8319684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8320108Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8320545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8320953Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8321398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 579, in feed_forward_chunk
2025-08-14T22:15:18.8321895Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:15:18.8322371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-14T22:15:18.8322796Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8322936Z 
2025-08-14T22:15:18.8323047Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8323401Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8323729Z     return mod(**inputs)
2025-08-14T22:15:18.8324120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8324552Z     outputs = self.roberta(
2025-08-14T22:15:18.8324966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8325384Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8325797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8326207Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8326563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8326935Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8327360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8327778Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8328176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8328561Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8328954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8329381Z     self_outputs = self.self(
2025-08-14T22:15:18.8329749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8330238Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8330685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-14T22:15:18.8331300Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:15:18.8331600Z 
2025-08-14T22:15:18.8331727Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8332136Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8332516Z     return mod(**inputs)
2025-08-14T22:15:18.8332963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8333431Z     outputs = self.roberta(
2025-08-14T22:15:18.8333863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8334320Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8334778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8335253Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8335664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8336067Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8336529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8336990Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8337413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8337832Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8338273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8338711Z     self_outputs = self.self(
2025-08-14T22:15:18.8339110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8339527Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8339966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-14T22:15:18.8340432Z     self.key(current_states)
2025-08-14T22:15:18.8340584Z 
2025-08-14T22:15:18.8340702Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8341098Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8341447Z     return mod(**inputs)
2025-08-14T22:15:18.8341870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8342319Z     outputs = self.roberta(
2025-08-14T22:15:18.8342751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8343222Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8343679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8344132Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8344509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8344907Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8345371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8345838Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8346253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8346670Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8347110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8347569Z     self_outputs = self.self(
2025-08-14T22:15:18.8347958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8348373Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8348812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-14T22:15:18.8349254Z     self.value(current_states)
2025-08-14T22:15:18.8349394Z 
2025-08-14T22:15:18.8349482Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8349749Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8350145Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8353070Z     return mod(**inputs)
2025-08-14T22:15:18.8353677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8354515Z     outputs = self.roberta(
2025-08-14T22:15:18.8354979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8355505Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8355989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8356449Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8356842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8357257Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8357722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8358194Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8358651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8359180Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8359678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8360192Z     self_outputs = self.self(
2025-08-14T22:15:18.8360611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8361029Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8361469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:15:18.8362238Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:18.8362677Z 
2025-08-14T22:15:18.8362821Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8363248Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8363606Z     return mod(**inputs)
2025-08-14T22:15:18.8364054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8364522Z     outputs = self.roberta(
2025-08-14T22:15:18.8364954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8365398Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8365851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8366299Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8366692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8367087Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8367541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8368006Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8368423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8368838Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8369277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-14T22:15:18.8369811Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:15:18.8370502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-14T22:15:18.8370993Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8371155Z 
2025-08-14T22:15:18.8371336Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8371758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8372122Z     return mod(**inputs)
2025-08-14T22:15:18.8372563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8373018Z     outputs = self.roberta(
2025-08-14T22:15:18.8373444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8373867Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8374283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8374700Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8375049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8375422Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8375906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8376330Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8376747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8377151Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8377595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8378093Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8378583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-14T22:15:18.8379003Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8379145Z 
2025-08-14T22:15:18.8379259Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8379635Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8379972Z     return mod(**inputs)
2025-08-14T22:15:18.8380370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8380779Z     outputs = self.roberta(
2025-08-14T22:15:18.8381173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8381592Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8382006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8382413Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8382767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8383156Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8383584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8383999Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8384410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8384808Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8385316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8385844Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8386384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:15:18.8386919Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:15:18.8387346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:15:18.8387724Z     return self.act(input)
2025-08-14T22:15:18.8387851Z 
2025-08-14T22:15:18.8387976Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8388383Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8388741Z     return mod(**inputs)
2025-08-14T22:15:18.8389180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8389639Z     outputs = self.roberta(
2025-08-14T22:15:18.8390063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8390498Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8391006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8391442Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8391810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8392204Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8392643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8393090Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8393550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8393977Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8394452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 579, in feed_forward_chunk
2025-08-14T22:15:18.8394998Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:15:18.8395491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-14T22:15:18.8395932Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8396081Z 
2025-08-14T22:15:18.8396202Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8396584Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8396930Z     return mod(**inputs)
2025-08-14T22:15:18.8397352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8397792Z     outputs = self.roberta(
2025-08-14T22:15:18.8398208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8398654Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8399083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8399510Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8399888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8400275Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8400707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8401160Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8401619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8402044Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8402474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8402916Z     self_outputs = self.self(
2025-08-14T22:15:18.8403309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8403707Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8404132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-14T22:15:18.8404726Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:15:18.8405022Z 
2025-08-14T22:15:18.8405134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8405525Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8405901Z     return mod(**inputs)
2025-08-14T22:15:18.8406345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8406788Z     outputs = self.roberta(
2025-08-14T22:15:18.8407205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8407643Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8408076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8408539Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8408906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8409295Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8409740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8410296Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8410737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8411161Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8411604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8412059Z     self_outputs = self.self(
2025-08-14T22:15:18.8412451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8412854Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8413314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-14T22:15:18.8413747Z     self.key(current_states)
2025-08-14T22:15:18.8413876Z 
2025-08-14T22:15:18.8413988Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8414374Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8414714Z     return mod(**inputs)
2025-08-14T22:15:18.8415136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8415575Z     outputs = self.roberta(
2025-08-14T22:15:18.8415993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8416426Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8416866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8417356Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8417732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8418119Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8418562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8419007Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8419409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8419807Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8420230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8420672Z     self_outputs = self.self(
2025-08-14T22:15:18.8421052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8421481Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8421929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-14T22:15:18.8422355Z     self.value(current_states)
2025-08-14T22:15:18.8422486Z 
2025-08-14T22:15:18.8422573Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8422832Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8423214Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8423556Z     return mod(**inputs)
2025-08-14T22:15:18.8423970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8424436Z     outputs = self.roberta(
2025-08-14T22:15:18.8424854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8425291Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8425723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8426158Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8426517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8426912Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8427352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8427798Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8428203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8428618Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8429063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8429507Z     self_outputs = self.self(
2025-08-14T22:15:18.8429974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8430380Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8430815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:15:18.8431348Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:18.8431563Z 
2025-08-14T22:15:18.8431682Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8432085Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8432454Z     return mod(**inputs)
2025-08-14T22:15:18.8432922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8433374Z     outputs = self.roberta(
2025-08-14T22:15:18.8433797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8434245Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8434688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8435134Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8435514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8435903Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8436400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8436907Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8437399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8437846Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8438310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-14T22:15:18.8438855Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:15:18.8439378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-14T22:15:18.8439902Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8440063Z 
2025-08-14T22:15:18.8440179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8440600Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8440981Z     return mod(**inputs)
2025-08-14T22:15:18.8441434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8441893Z     outputs = self.roberta(
2025-08-14T22:15:18.8442326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8442792Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8443255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8443757Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8444121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8444502Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8444952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8445415Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8445841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8446265Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8446742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8447263Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8447752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-14T22:15:18.8448199Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8448346Z 
2025-08-14T22:15:18.8448490Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8448876Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8449227Z     return mod(**inputs)
2025-08-14T22:15:18.8449646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8450171Z     outputs = self.roberta(
2025-08-14T22:15:18.8450588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8451030Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8451477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8451921Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8452310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8452747Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8453220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8453663Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8454094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8454515Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8454983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8455526Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8456015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:15:18.8456510Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:15:18.8456922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:15:18.8457286Z     return self.act(input)
2025-08-14T22:15:18.8457414Z 
2025-08-14T22:15:18.8457526Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8457911Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8458252Z     return mod(**inputs)
2025-08-14T22:15:18.8458671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8459109Z     outputs = self.roberta(
2025-08-14T22:15:18.8459525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8459954Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8460388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8460829Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8461195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8461583Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8462219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8462364Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8462797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8462902Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8463325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 579, in feed_forward_chunk
2025-08-14T22:15:18.8463483Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:15:18.8463791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-14T22:15:18.8463887Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8463893Z 
2025-08-14T22:15:18.8464005Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8464219Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8464300Z     return mod(**inputs)
2025-08-14T22:15:18.8464599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8464687Z     outputs = self.roberta(
2025-08-14T22:15:18.8464983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8465101Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8465428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8465506Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8465742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8465833Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8466123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8466262Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8466525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8466603Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8466904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8466987Z     self_outputs = self.self(
2025-08-14T22:15:18.8467247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8467331Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8467621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-14T22:15:18.8467854Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:15:18.8467863Z 
2025-08-14T22:15:18.8467973Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8468184Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8468265Z     return mod(**inputs)
2025-08-14T22:15:18.8468564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8468655Z     outputs = self.roberta(
2025-08-14T22:15:18.8468948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8469028Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8469333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8469406Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8469636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8469718Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8470029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8470129Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8470387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8470463Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8470763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8470840Z     self_outputs = self.self(
2025-08-14T22:15:18.8471106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8471181Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8471475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-14T22:15:18.8471560Z     self.key(current_states)
2025-08-14T22:15:18.8471565Z 
2025-08-14T22:15:18.8471678Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8471931Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8472012Z     return mod(**inputs)
2025-08-14T22:15:18.8472309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8472389Z     outputs = self.roberta(
2025-08-14T22:15:18.8472682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8472761Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8473081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8473159Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8473401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8473486Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8473779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8473875Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8474133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8474206Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8474505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8474584Z     self_outputs = self.self(
2025-08-14T22:15:18.8474843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8474919Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8475211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-14T22:15:18.8475298Z     self.value(current_states)
2025-08-14T22:15:18.8475302Z 
2025-08-14T22:15:18.8475391Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8475509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8475718Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8475787Z     return mod(**inputs)
2025-08-14T22:15:18.8476090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8476166Z     outputs = self.roberta(
2025-08-14T22:15:18.8476456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8476584Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8476877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8476962Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8477199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8477281Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8477576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8477662Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8477918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8478001Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8478298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8478402Z     self_outputs = self.self(
2025-08-14T22:15:18.8478683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8482544Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8482879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:15:18.8483022Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:18.8483027Z 
2025-08-14T22:15:18.8483140Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8483367Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8483440Z     return mod(**inputs)
2025-08-14T22:15:18.8483760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8483848Z     outputs = self.roberta(
2025-08-14T22:15:18.8484164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8484254Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8484602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8484679Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8484933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8485018Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8485329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8485427Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8485706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8485792Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8486102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-14T22:15:18.8486242Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:15:18.8486547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-14T22:15:18.8486634Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8486638Z 
2025-08-14T22:15:18.8486757Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8486989Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8487058Z     return mod(**inputs)
2025-08-14T22:15:18.8487408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8487487Z     outputs = self.roberta(
2025-08-14T22:15:18.8487777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8487866Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8488155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8488239Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8488479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8488564Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8488866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8488979Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8489288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8489372Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8489794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8489934Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8490354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-14T22:15:18.8490450Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8490463Z 
2025-08-14T22:15:18.8490579Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8490799Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8490881Z     return mod(**inputs)
2025-08-14T22:15:18.8491190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8491268Z     outputs = self.roberta(
2025-08-14T22:15:18.8491584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8491667Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8491980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8492062Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8492318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8492435Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8492726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8492820Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8493106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8493190Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8493521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8493649Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8493942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:15:18.8494067Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:15:18.8494322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:15:18.8494410Z     return self.act(input)
2025-08-14T22:15:18.8494414Z 
2025-08-14T22:15:18.8494527Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8494746Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8494828Z     return mod(**inputs)
2025-08-14T22:15:18.8495126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8495200Z     outputs = self.roberta(
2025-08-14T22:15:18.8495502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8495581Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8495882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8495979Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8496255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8496348Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8496670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8496765Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8497039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8497118Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8497445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 579, in feed_forward_chunk
2025-08-14T22:15:18.8497590Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:15:18.8497883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-14T22:15:18.8497977Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8497982Z 
2025-08-14T22:15:18.8498091Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8498305Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8498378Z     return mod(**inputs)
2025-08-14T22:15:18.8498677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8498760Z     outputs = self.roberta(
2025-08-14T22:15:18.8499066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8499154Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8499442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8499519Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8499759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8499843Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8500134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8500228Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8500483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8500562Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8500868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8500947Z     self_outputs = self.self(
2025-08-14T22:15:18.8501210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8501285Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8501584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-14T22:15:18.8501807Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:15:18.8501813Z 
2025-08-14T22:15:18.8501923Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8502142Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8502209Z     return mod(**inputs)
2025-08-14T22:15:18.8502515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8502620Z     outputs = self.roberta(
2025-08-14T22:15:18.8502929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8503037Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8503326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8503404Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8503647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8503730Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8504024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8504112Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8504366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8504452Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8504742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8504820Z     self_outputs = self.self(
2025-08-14T22:15:18.8505083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8505157Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8505453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-14T22:15:18.8505529Z     self.key(current_states)
2025-08-14T22:15:18.8505532Z 
2025-08-14T22:15:18.8505642Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8505859Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8505931Z     return mod(**inputs)
2025-08-14T22:15:18.8506227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8506309Z     outputs = self.roberta(
2025-08-14T22:15:18.8506601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8506689Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8506977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8507052Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8507296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8507404Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8507704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8507790Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8508046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8508129Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8508418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8508493Z     self_outputs = self.self(
2025-08-14T22:15:18.8508754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8508827Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8509125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-14T22:15:18.8509227Z     self.value(current_states)
2025-08-14T22:15:18.8509231Z 
2025-08-14T22:15:18.8509337Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8509457Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8509687Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8509767Z     return mod(**inputs)
2025-08-14T22:15:18.8510061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8510134Z     outputs = self.roberta(
2025-08-14T22:15:18.8510429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8510507Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8510799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8510885Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8511124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8511214Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8511502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8511589Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8511850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8511923Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8512226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8512308Z     self_outputs = self.self(
2025-08-14T22:15:18.8512565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8512646Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8512937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:15:18.8513082Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:18.8513085Z 
2025-08-14T22:15:18.8513203Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8513410Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8513490Z     return mod(**inputs)
2025-08-14T22:15:18.8513787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8513879Z     outputs = self.roberta(
2025-08-14T22:15:18.8514179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8514261Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8514555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8514639Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8514878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8514965Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8515254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8515338Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8515604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8515697Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8516015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-14T22:15:18.8516154Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:15:18.8516467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-14T22:15:18.8516560Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8516563Z 
2025-08-14T22:15:18.8516672Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8516882Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8516958Z     return mod(**inputs)
2025-08-14T22:15:18.8517258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8517338Z     outputs = self.roberta(
2025-08-14T22:15:18.8517635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8517712Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8518015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8518089Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8518336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8518417Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8518712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8518810Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8519093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8519175Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8519509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8519639Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8519945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-14T22:15:18.8520032Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8520038Z 
2025-08-14T22:15:18.8520147Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8520384Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8520478Z     return mod(**inputs)
2025-08-14T22:15:18.8520787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8520864Z     outputs = self.roberta(
2025-08-14T22:15:18.8521164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8521252Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8521541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8521617Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8521872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8521955Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8522259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8522377Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8522679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8522789Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8523117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8523252Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8523554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:15:18.8523672Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:15:18.8523909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:15:18.8523984Z     return self.act(input)
2025-08-14T22:15:18.8523990Z 
2025-08-14T22:15:18.8524105Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8524332Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8524403Z     return mod(**inputs)
2025-08-14T22:15:18.8524714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8524787Z     outputs = self.roberta(
2025-08-14T22:15:18.8525088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8525173Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8525473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8525556Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8525794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8525876Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8526181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8526270Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8526546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8526635Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8526957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 579, in feed_forward_chunk
2025-08-14T22:15:18.8527106Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:15:18.8527417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-14T22:15:18.8527508Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8527512Z 
2025-08-14T22:15:18.8527630Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8527841Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8527920Z     return mod(**inputs)
2025-08-14T22:15:18.8528223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8528298Z     outputs = self.roberta(
2025-08-14T22:15:18.8528601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8528680Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8528980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8529085Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8529345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8529455Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8529748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8529837Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8530210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8530294Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8530604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8530686Z     self_outputs = self.self(
2025-08-14T22:15:18.8530956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8531044Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8531351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-14T22:15:18.8531574Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:15:18.8531588Z 
2025-08-14T22:15:18.8531698Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8531909Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8531989Z     return mod(**inputs)
2025-08-14T22:15:18.8532295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8532371Z     outputs = self.roberta(
2025-08-14T22:15:18.8532684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8532767Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8533072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8533153Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8533397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8533489Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8533801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8533888Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8534189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8534268Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8534575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8534654Z     self_outputs = self.self(
2025-08-14T22:15:18.8534914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8534997Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8535294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-14T22:15:18.8535378Z     self.key(current_states)
2025-08-14T22:15:18.8535382Z 
2025-08-14T22:15:18.8535492Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8535704Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8535806Z     return mod(**inputs)
2025-08-14T22:15:18.8536144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8536220Z     outputs = self.roberta(
2025-08-14T22:15:18.8536552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8536632Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8536941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8537019Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8537264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8537358Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8537670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8537770Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8538033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8538110Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8538416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8538491Z     self_outputs = self.self(
2025-08-14T22:15:18.8538754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8538838Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8539150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-14T22:15:18.8539236Z     self.value(current_states)
2025-08-14T22:15:18.8539241Z 
2025-08-14T22:15:18.8539333Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8539450Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8539675Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8539750Z     return mod(**inputs)
2025-08-14T22:15:18.8540057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8540138Z     outputs = self.roberta(
2025-08-14T22:15:18.8540455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8540544Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8540881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8540961Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8541215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8541302Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8541621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8541710Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8541981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8542064Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8542364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8542440Z     self_outputs = self.self(
2025-08-14T22:15:18.8542711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8542807Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8543142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:15:18.8543307Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:18.8543312Z 
2025-08-14T22:15:18.8543426Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8543649Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8543721Z     return mod(**inputs)
2025-08-14T22:15:18.8544033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8544108Z     outputs = self.roberta(
2025-08-14T22:15:18.8544408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8544496Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8544795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8544874Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8545121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8545206Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8545512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8545610Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8545867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8545951Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8546242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-14T22:15:18.8546386Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:15:18.8546678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-14T22:15:18.8546765Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8546769Z 
2025-08-14T22:15:18.8546886Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8547097Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8547166Z     return mod(**inputs)
2025-08-14T22:15:18.8547466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8547567Z     outputs = self.roberta(
2025-08-14T22:15:18.8547876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8547956Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8548253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8548342Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8548587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8548679Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8548985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8549071Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8549363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8549466Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8549814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8549973Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8550267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-14T22:15:18.8550359Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8550363Z 
2025-08-14T22:15:18.8550471Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8550681Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8550758Z     return mod(**inputs)
2025-08-14T22:15:18.8551055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8551134Z     outputs = self.roberta(
2025-08-14T22:15:18.8551429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8551508Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8551808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8551883Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8552121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8552208Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8552498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8552593Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8552877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8552956Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8553293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8553421Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8553722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:15:18.8553840Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:15:18.8554071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:15:18.8554154Z     return self.act(input)
2025-08-14T22:15:18.8554181Z 
2025-08-14T22:15:18.8554294Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8554509Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8554586Z     return mod(**inputs)
2025-08-14T22:15:18.8554881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8554993Z     outputs = self.roberta(
2025-08-14T22:15:18.8555286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8555363Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8555661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8555737Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8555982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8556087Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8556703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8556822Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8557099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8557179Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8557512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 579, in feed_forward_chunk
2025-08-14T22:15:18.8557650Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:15:18.8557952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-14T22:15:18.8558043Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8558046Z 
2025-08-14T22:15:18.8558157Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8558374Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8558448Z     return mod(**inputs)
2025-08-14T22:15:18.8558754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8558829Z     outputs = self.roberta(
2025-08-14T22:15:18.8559121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8559209Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8559508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8559585Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8559836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8559922Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8560219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8560325Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8560582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8560663Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8560956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8561038Z     self_outputs = self.self(
2025-08-14T22:15:18.8561320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8561398Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8561696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-14T22:15:18.8561916Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:15:18.8561922Z 
2025-08-14T22:15:18.8562247Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8562618Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8562697Z     return mod(**inputs)
2025-08-14T22:15:18.8563019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8563095Z     outputs = self.roberta(
2025-08-14T22:15:18.8563409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8563569Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8563897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8564021Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8564268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8564356Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8564665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8564756Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8565024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8565112Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8565418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8565505Z     self_outputs = self.self(
2025-08-14T22:15:18.8565770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8565848Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8566158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-14T22:15:18.8566235Z     self.key(current_states)
2025-08-14T22:15:18.8566239Z 
2025-08-14T22:15:18.8566361Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8566580Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8566653Z     return mod(**inputs)
2025-08-14T22:15:18.8566968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8567047Z     outputs = self.roberta(
2025-08-14T22:15:18.8567347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8567436Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8567735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8567820Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8568067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8568149Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8568485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8568575Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8568842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8568925Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8569230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8569314Z     self_outputs = self.self(
2025-08-14T22:15:18.8569579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8569655Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8570012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-14T22:15:18.8570104Z     self.value(current_states)
2025-08-14T22:15:18.8570111Z 
2025-08-14T22:15:18.8570212Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8570353Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8570592Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8570675Z     return mod(**inputs)
2025-08-14T22:15:18.8571012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8571089Z     outputs = self.roberta(
2025-08-14T22:15:18.8571397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8571477Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8571785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8571862Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8572110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8572208Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8572508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8572607Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8572872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8572949Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8573258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8573334Z     self_outputs = self.self(
2025-08-14T22:15:18.8573599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8573680Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8573988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:15:18.8574142Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:18.8574148Z 
2025-08-14T22:15:18.8574262Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8574476Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8574558Z     return mod(**inputs)
2025-08-14T22:15:18.8574863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8574937Z     outputs = self.roberta(
2025-08-14T22:15:18.8575270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8575369Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8575683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8575761Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8576003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8576096Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8576394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8576489Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8576753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8576828Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8577156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-14T22:15:18.8592489Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:15:18.8593108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-14T22:15:18.8593260Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8593270Z 
2025-08-14T22:15:18.8593398Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8593644Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8593722Z     return mod(**inputs)
2025-08-14T22:15:18.8594045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8594137Z     outputs = self.roberta(
2025-08-14T22:15:18.8594450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8594549Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8594869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8594953Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8595207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8595298Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8595595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8595695Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8595979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8596075Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8596411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8596546Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8596850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-14T22:15:18.8596939Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8596943Z 
2025-08-14T22:15:18.8597068Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8597290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8597364Z     return mod(**inputs)
2025-08-14T22:15:18.8597704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8597786Z     outputs = self.roberta(
2025-08-14T22:15:18.8598093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8598186Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8598499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8598587Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8598828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8598917Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8599219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8599307Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8599597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8599711Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8600061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8600220Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8600518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:15:18.8600637Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:15:18.8600879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:15:18.8600954Z     return self.act(input)
2025-08-14T22:15:18.8600959Z 
2025-08-14T22:15:18.8601080Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8601296Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8601369Z     return mod(**inputs)
2025-08-14T22:15:18.8601677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8601753Z     outputs = self.roberta(
2025-08-14T22:15:18.8602052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8602131Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8602424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8602508Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8602746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8602832Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8603136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8603224Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8603509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8603592Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8603919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 579, in feed_forward_chunk
2025-08-14T22:15:18.8604070Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:15:18.8604365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-14T22:15:18.8604474Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8604478Z 
2025-08-14T22:15:18.8604599Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8604824Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8604895Z     return mod(**inputs)
2025-08-14T22:15:18.8605201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8605279Z     outputs = self.roberta(
2025-08-14T22:15:18.8605578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8605667Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8605964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8606044Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8606294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8606417Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8606751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8606861Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8607132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8607221Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8607515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8607596Z     self_outputs = self.self(
2025-08-14T22:15:18.8607867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8607948Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8608255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-14T22:15:18.8608486Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:15:18.8608492Z 
2025-08-14T22:15:18.8608604Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8608829Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8608901Z     return mod(**inputs)
2025-08-14T22:15:18.8609212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8609287Z     outputs = self.roberta(
2025-08-14T22:15:18.8609583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8609671Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8610067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8610165Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8610410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8610497Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8610806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8610902Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8611165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8611250Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8611570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8611661Z     self_outputs = self.self(
2025-08-14T22:15:18.8611925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8612003Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8612309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-14T22:15:18.8612388Z     self.key(current_states)
2025-08-14T22:15:18.8612392Z 
2025-08-14T22:15:18.8612506Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8612730Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8612806Z     return mod(**inputs)
2025-08-14T22:15:18.8613118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8613216Z     outputs = self.roberta(
2025-08-14T22:15:18.8613543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8613633Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8613986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8614071Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8614311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8614397Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8614708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8614800Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8615066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8615154Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8615456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8615545Z     self_outputs = self.self(
2025-08-14T22:15:18.8615808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8615883Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8616191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-14T22:15:18.8616272Z     self.value(current_states)
2025-08-14T22:15:18.8616276Z 
2025-08-14T22:15:18.8616373Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8616486Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8616706Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8616786Z     return mod(**inputs)
2025-08-14T22:15:18.8617091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8617168Z     outputs = self.roberta(
2025-08-14T22:15:18.8617479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8617560Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8617881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8617960Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8618221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8618320Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8618617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8618707Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8618976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8619050Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8619357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8619432Z     self_outputs = self.self(
2025-08-14T22:15:18.8619690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8619774Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8620072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:15:18.8620268Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:18.8620273Z 
2025-08-14T22:15:18.8620385Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8620622Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8620702Z     return mod(**inputs)
2025-08-14T22:15:18.8621007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8621083Z     outputs = self.roberta(
2025-08-14T22:15:18.8621393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8621474Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8621792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8621872Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8622115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8622209Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8622506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8622601Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8622865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8622940Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8623246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-14T22:15:18.8623391Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:15:18.8623705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-14T22:15:18.8623801Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8623807Z 
2025-08-14T22:15:18.8623916Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8624134Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8624203Z     return mod(**inputs)
2025-08-14T22:15:18.8624499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8624580Z     outputs = self.roberta(
2025-08-14T22:15:18.8624893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8624980Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8625273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8625348Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8625596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8625680Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8625980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8626077Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8626353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8626444Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8626770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8626936Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8627234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-14T22:15:18.8627339Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8627343Z 
2025-08-14T22:15:18.8627456Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8627681Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8627750Z     return mod(**inputs)
2025-08-14T22:15:18.8628049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8628122Z     outputs = self.roberta(
2025-08-14T22:15:18.8628413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8628499Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8628793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8628879Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8629119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8629202Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8629500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8629586Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8629868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8629948Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8630271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8630405Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8630705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:15:18.8630822Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:15:18.8631056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:15:18.8631131Z     return self.act(input)
2025-08-14T22:15:18.8631135Z 
2025-08-14T22:15:18.8631251Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8631512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8631584Z     return mod(**inputs)
2025-08-14T22:15:18.8631897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8631970Z     outputs = self.roberta(
2025-08-14T22:15:18.8632285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8632366Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8632662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8632746Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8632993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8633077Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8633389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8633497Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8633798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8633896Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8634222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 579, in feed_forward_chunk
2025-08-14T22:15:18.8634373Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:15:18.8634667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-14T22:15:18.8634790Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8634794Z 
2025-08-14T22:15:18.8634905Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8635120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8635201Z     return mod(**inputs)
2025-08-14T22:15:18.8635501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8635577Z     outputs = self.roberta(
2025-08-14T22:15:18.8635879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8635955Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8636264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8636340Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8636578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8636669Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8636963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8637058Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8637320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8637396Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8637694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8637770Z     self_outputs = self.self(
2025-08-14T22:15:18.8638028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8638111Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8638435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-14T22:15:18.8638670Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-14T22:15:18.8638674Z 
2025-08-14T22:15:18.8638784Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8638994Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8639073Z     return mod(**inputs)
2025-08-14T22:15:18.8639365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8639446Z     outputs = self.roberta(
2025-08-14T22:15:18.8639735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8639813Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8640111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8640226Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8640462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8640570Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8640859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8640954Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8641206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8641279Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8641579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8641655Z     self_outputs = self.self(
2025-08-14T22:15:18.8641917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8641992Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8642281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-14T22:15:18.8642363Z     self.key(current_states)
2025-08-14T22:15:18.8642367Z 
2025-08-14T22:15:18.8642473Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8642678Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8642755Z     return mod(**inputs)
2025-08-14T22:15:18.8643046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8643126Z     outputs = self.roberta(
2025-08-14T22:15:18.8643415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8643496Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8643795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8643873Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8644111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8644204Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8644508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8644603Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8644885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8644966Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8645276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8645354Z     self_outputs = self.self(
2025-08-14T22:15:18.8645624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8645699Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8645998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-14T22:15:18.8646087Z     self.value(current_states)
2025-08-14T22:15:18.8646090Z 
2025-08-14T22:15:18.8646182Z cudagraph partition due to non gpu ops
2025-08-14T22:15:18.8646294Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8646519Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8646612Z     return mod(**inputs)
2025-08-14T22:15:18.8646947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8647022Z     outputs = self.roberta(
2025-08-14T22:15:18.8647336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8647425Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8647723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8647808Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8648048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8648134Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8648441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8648532Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8648793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8648881Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8649180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:15:18.8649263Z     self_outputs = self.self(
2025-08-14T22:15:18.8649524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8649599Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8649907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:15:18.8650145Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:18.8650152Z 
2025-08-14T22:15:18.8650279Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8650499Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8650574Z     return mod(**inputs)
2025-08-14T22:15:18.8650891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8650966Z     outputs = self.roberta(
2025-08-14T22:15:18.8651270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8651359Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8651685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8651778Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8652022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8652110Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8652420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:15:18.8652511Z     self_attention_outputs = self.attention(
2025-08-14T22:15:18.8652775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:18.8652864Z     return func(*args, **kwargs)
2025-08-14T22:15:18.8653162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-14T22:15:18.8653313Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:15:18.8653610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-14T22:15:18.8653738Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8653743Z 
2025-08-14T22:15:18.8653865Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8654109Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8654189Z     return mod(**inputs)
2025-08-14T22:15:18.8654495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8654569Z     outputs = self.roberta(
2025-08-14T22:15:18.8654876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8654954Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8655254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8655344Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8655585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8655682Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8655981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8656072Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8656367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8656450Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8656794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8656930Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8657231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-14T22:15:18.8657328Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8657333Z 
2025-08-14T22:15:18.8657444Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8657667Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8657740Z     return mod(**inputs)
2025-08-14T22:15:18.8658044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8658123Z     outputs = self.roberta(
2025-08-14T22:15:18.8658444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8658526Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8658836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8658912Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8659160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8659244Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8659547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8659642Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8659924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8660005Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8660355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:15:18.8660521Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:15:18.8660829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:15:18.8660971Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:15:18.8661202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:15:18.8661287Z     return self.act(input)
2025-08-14T22:15:18.8661291Z 
2025-08-14T22:15:18.8661400Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8661626Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8661694Z     return mod(**inputs)
2025-08-14T22:15:18.8662231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:15:18.8662372Z     outputs = self.roberta(
2025-08-14T22:15:18.8662836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:15:18.8662918Z     encoder_outputs = self.encoder(
2025-08-14T22:15:18.8663217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:15:18.8663293Z     layer_outputs = layer_module(
2025-08-14T22:15:18.8663539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:18.8663622Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:18.8663942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:15:18.8664034Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:15:18.8664339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:15:18.8664421Z     return forward_fn(*input_tensors)
2025-08-14T22:15:18.8664748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 579, in feed_forward_chunk
2025-08-14T22:15:18.8664897Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-14T22:15:18.8665200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-14T22:15:18.8665286Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:15:18.8665297Z 
2025-08-14T22:15:18.8665409Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8665745Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8665830Z     return mod(**inputs)
2025-08-14T22:15:18.8666138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1108, in forward
2025-08-14T22:15:18.8666248Z     prediction_scores = self.lm_head(sequence_output)
2025-08-14T22:15:18.8666562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1143, in forward
2025-08-14T22:15:18.8666652Z     x = self.dense(features)
2025-08-14T22:15:18.8666656Z 
2025-08-14T22:15:18.8666774Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:18.8666983Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:18.8667055Z     return mod(**inputs)
2025-08-14T22:15:18.8667358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1108, in forward
2025-08-14T22:15:18.8667500Z     prediction_scores = self.lm_head(sequence_output)
2025-08-14T22:15:18.8667820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1148, in forward
2025-08-14T22:15:18.8667907Z     x = self.decoder(x)
2025-08-14T22:15:18.8667942Z 
2025-08-14T22:15:31.9818275Z Compilation time (from dynamo_timed): 25.494303215
2025-08-14T22:15:32.1915023Z pass
2025-08-14T22:15:32.1915499Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:15:32.1916368Z TIMING: _recursive_pre_grad_passes:0.00927 _recursive_joint_graph_passes:0.50733 _recursive_post_grad_passes:0.08915 async_compile.wait:0.70885 code_gen:9.00167 inductor_compile:12.2348 backend_compile:20.46632 gc:0.00013 entire_frame_compile:25.4943 total_wall_time:25.4943
2025-08-14T22:15:32.1917569Z STATS: call_* op count: 293 | FakeTensorMode.__torch_dispatch__:12576 | attempt fast:56 | fast is_contiguous:52 | slow no contiguity match:4 | FakeTensor.__torch_dispatch__:4654 | ProxyTorchDispatchMode.__torch_dispatch__:4468
2025-08-14T22:15:32.1918276Z Dynamo produced 1 graphs covering 293 ops with 0 graph breaks (0 unique)
2025-08-14T22:15:37.3805787Z 
2025-08-14T22:15:38.0784369Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:15:38.0784918Z 
2025-08-14T22:15:38.0827084Z config.json:   0% 0.00/1.21k [00:00<?, ?B/s]
2025-08-14T22:15:38.0827414Z config.json: 100% 1.21k/1.21k [00:00<00:00, 261kB/s]
2025-08-14T22:15:40.0773465Z 
2025-08-14T22:15:40.0778879Z loading model: 0it [00:02, ?it/s]
2025-08-14T22:15:40.0787555Z cpu  eval  hf_T5                              
2025-08-14T22:15:41.2248416Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:15:41.7309879Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:15:42.2282287Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:16:11.1587160Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1587712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1588095Z     return mod(**inputs)
2025-08-14T22:16:11.1588536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1588969Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1589396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1589842Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1590254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1590655Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1591504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1591958Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1592389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1592823Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1593247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 546, in forward
2025-08-14T22:16:11.1593683Z     position_bias = position_bias + causal_mask
2025-08-14T22:16:11.1593852Z 
2025-08-14T22:16:11.1593983Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1594412Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1594819Z     return mod(**inputs)
2025-08-14T22:16:11.1595244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1595669Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1596193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1596678Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1597192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1597614Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1598038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1598470Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1598901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1599337Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1599763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:16:11.1600193Z     query_states = self.q(hidden_states)
2025-08-14T22:16:11.1600350Z 
2025-08-14T22:16:11.1600481Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1600892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1601272Z     return mod(**inputs)
2025-08-14T22:16:11.1601683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1602137Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1602561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1602975Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1603365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1603769Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1604220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1604648Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1605073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1605563Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1606290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:16:11.1606710Z     key_states = self.k(current_states)
2025-08-14T22:16:11.1606858Z 
2025-08-14T22:16:11.1606982Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1607368Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1607717Z     return mod(**inputs)
2025-08-14T22:16:11.1608325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1608739Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1609144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1609554Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1609935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1610531Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1610945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1611365Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1611784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1612210Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1612676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:16:11.1613092Z     value_states = self.v(current_states)
2025-08-14T22:16:11.1613243Z 
2025-08-14T22:16:11.1613357Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.1613596Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.1613858Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1614252Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1614608Z     return mod(**inputs)
2025-08-14T22:16:11.1614991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1615404Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1615802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1616216Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1616592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1616997Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1617401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1617817Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1618228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1618626Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1619030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:16:11.1619438Z     attn_output = self.o(attn_output)
2025-08-14T22:16:11.1619582Z 
2025-08-14T22:16:11.1619714Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1620148Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1620510Z     return mod(**inputs)
2025-08-14T22:16:11.1620896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1621302Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1621718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1622114Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1622485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1622866Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1623287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1623714Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1624143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1624594Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1625040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:16:11.1625442Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:16:11.1625585Z 
2025-08-14T22:16:11.1625696Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1626083Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1626428Z     return mod(**inputs)
2025-08-14T22:16:11.1626796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1627189Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1627608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1628026Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1628398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1628808Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1629200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1629609Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1630008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1630450Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1630884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:16:11.1631281Z     hidden_states = self.act(hidden_states)
2025-08-14T22:16:11.1631425Z 
2025-08-14T22:16:11.1631536Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1631917Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1632274Z     return mod(**inputs)
2025-08-14T22:16:11.1632635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1633029Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1633416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1633808Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1634174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1634560Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1634957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1635360Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1635764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1636199Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1636630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:16:11.1637023Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:16:11.1637172Z 
2025-08-14T22:16:11.1637282Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1637661Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1638810Z     return mod(**inputs)
2025-08-14T22:16:11.1639191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1639602Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1639995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1640388Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1640772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1641176Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1641591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1641996Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1642402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1642813Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1643252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:16:11.1643660Z     query_states = self.q(hidden_states)
2025-08-14T22:16:11.1643813Z 
2025-08-14T22:16:11.1643945Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1644328Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1644663Z     return mod(**inputs)
2025-08-14T22:16:11.1645030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1645437Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1645829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1646235Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1646613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1647010Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1647407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1647819Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1648220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1648635Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1649037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:16:11.1649437Z     key_states = self.k(current_states)
2025-08-14T22:16:11.1649581Z 
2025-08-14T22:16:11.1649701Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1650087Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1650573Z     return mod(**inputs)
2025-08-14T22:16:11.1650963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1651372Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1651770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1652179Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1652563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1652952Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1653358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1653779Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1654212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1654627Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1655039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:16:11.1655454Z     value_states = self.v(current_states)
2025-08-14T22:16:11.1655601Z 
2025-08-14T22:16:11.1655696Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.1655928Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.1656194Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1656593Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1656942Z     return mod(**inputs)
2025-08-14T22:16:11.1657346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1657763Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1658183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1658650Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1659043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1659470Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1659877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1660292Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1660697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1661117Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1661518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:16:11.1661929Z     attn_output = self.o(attn_output)
2025-08-14T22:16:11.1662319Z 
2025-08-14T22:16:11.1662451Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1662850Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1663220Z     return mod(**inputs)
2025-08-14T22:16:11.1663607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1664027Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1664428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1664844Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1665229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1665630Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1666044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1666467Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1666873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1667310Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1667751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:16:11.1668155Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:16:11.1668299Z 
2025-08-14T22:16:11.1668416Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1668794Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1669140Z     return mod(**inputs)
2025-08-14T22:16:11.1669584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1669984Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1670376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1670777Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1671149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1671531Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1671929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1672344Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1672747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1673194Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1673690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:16:11.1674094Z     hidden_states = self.act(hidden_states)
2025-08-14T22:16:11.1674237Z 
2025-08-14T22:16:11.1674378Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1674763Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1675105Z     return mod(**inputs)
2025-08-14T22:16:11.1675478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1675868Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1676259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1676653Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1677018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1677404Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1677799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1678215Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1678615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1679055Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1679491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:16:11.1679881Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:16:11.1680035Z 
2025-08-14T22:16:11.1680144Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1680532Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1680879Z     return mod(**inputs)
2025-08-14T22:16:11.1681244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1681646Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1682039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1682434Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1682797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1683183Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1683576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1683973Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1684396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1684804Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1685201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:16:11.1685591Z     query_states = self.q(hidden_states)
2025-08-14T22:16:11.1685739Z 
2025-08-14T22:16:11.1685851Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1686234Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1686574Z     return mod(**inputs)
2025-08-14T22:16:11.1686945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1687344Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1687739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1688179Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1688574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1688962Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1689371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1689770Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1690258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1690687Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1691094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:16:11.1691512Z     key_states = self.k(current_states)
2025-08-14T22:16:11.1691660Z 
2025-08-14T22:16:11.1691783Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1692185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1692536Z     return mod(**inputs)
2025-08-14T22:16:11.1692923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1693343Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1693740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1694155Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1694542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1694941Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1695349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1695766Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1696181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1696588Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1697000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:16:11.1697411Z     value_states = self.v(current_states)
2025-08-14T22:16:11.1697559Z 
2025-08-14T22:16:11.1697656Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.1697888Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.1698151Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1698554Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1698903Z     return mod(**inputs)
2025-08-14T22:16:11.1699317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1699730Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1700137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1700538Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1700924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1701359Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1701759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1702175Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1702580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1702999Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1703423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:16:11.1703847Z     attn_output = self.o(attn_output)
2025-08-14T22:16:11.1703993Z 
2025-08-14T22:16:11.1704115Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1704560Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1704957Z     return mod(**inputs)
2025-08-14T22:16:11.1705321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1705718Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1706098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1706489Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1706860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1707246Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1707635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1708050Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1708458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1708890Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1709326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:16:11.1709725Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:16:11.1709867Z 
2025-08-14T22:16:11.1709986Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1710361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1710709Z     return mod(**inputs)
2025-08-14T22:16:11.1711080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1711478Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1711862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1712253Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1712620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1712994Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1713389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1713799Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1714236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1714671Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1715101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:16:11.1715499Z     hidden_states = self.act(hidden_states)
2025-08-14T22:16:11.1715642Z 
2025-08-14T22:16:11.1715750Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1716134Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1716477Z     return mod(**inputs)
2025-08-14T22:16:11.1716842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1717228Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1717616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1718049Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1718432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1718821Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1719239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1719650Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1720050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1720488Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1720915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:16:11.1721313Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:16:11.1721455Z 
2025-08-14T22:16:11.1721568Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1721950Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1722296Z     return mod(**inputs)
2025-08-14T22:16:11.1722659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1723059Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1723448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1723841Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1724203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1724594Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1724990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1725383Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1725788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1726194Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1726594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:16:11.1726982Z     query_states = self.q(hidden_states)
2025-08-14T22:16:11.1727134Z 
2025-08-14T22:16:11.1727244Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1727630Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1727975Z     return mod(**inputs)
2025-08-14T22:16:11.1728335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1728755Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1729151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1729538Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1729903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1730380Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1730802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1731210Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1731620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1732034Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1732441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:16:11.1732872Z     key_states = self.k(current_states)
2025-08-14T22:16:11.1733021Z 
2025-08-14T22:16:11.1733152Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1733541Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1733900Z     return mod(**inputs)
2025-08-14T22:16:11.1734272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1734672Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1735034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1735404Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1735754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1736120Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1736495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1736900Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1737297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1737697Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1738087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:16:11.1738480Z     value_states = self.v(current_states)
2025-08-14T22:16:11.1738613Z 
2025-08-14T22:16:11.1738702Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.1738919Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.1739171Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1739551Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1739899Z     return mod(**inputs)
2025-08-14T22:16:11.1740262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1740655Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1741049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1741435Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1741807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1742199Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1742594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1742988Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1743411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1743814Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1744201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:16:11.1744598Z     attn_output = self.o(attn_output)
2025-08-14T22:16:11.1744743Z 
2025-08-14T22:16:11.1744855Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1745232Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1745570Z     return mod(**inputs)
2025-08-14T22:16:11.1745939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1746334Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1746715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1747109Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1747531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1747918Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1748324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1748721Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1749118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:16:11.1749573Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:16:11.1749771Z 
2025-08-14T22:16:11.1749878Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1750258Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1750584Z     return mod(**inputs)
2025-08-14T22:16:11.1750948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1751350Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1751737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1752132Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1752493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1752887Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1753282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1753685Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1754093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1754533Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1754972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:16:11.1755366Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:16:11.1755519Z 
2025-08-14T22:16:11.1755631Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1756012Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1756354Z     return mod(**inputs)
2025-08-14T22:16:11.1756713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1757110Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1757497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1757907Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1758282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1758673Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1759066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1759472Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1759879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1760315Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1760738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:16:11.1761140Z     hidden_states = self.act(hidden_states)
2025-08-14T22:16:11.1761292Z 
2025-08-14T22:16:11.1761405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1761813Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1762402Z     return mod(**inputs)
2025-08-14T22:16:11.1762801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1763257Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1763668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1764072Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1764443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1764836Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1765229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1765647Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1766059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1766497Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1766927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:16:11.1767327Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:16:11.1767468Z 
2025-08-14T22:16:11.1767588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1767966Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1768314Z     return mod(**inputs)
2025-08-14T22:16:11.1768680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1769076Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1769457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1769858Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1770301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1770716Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1771120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1771533Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1771949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1772342Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1772786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:16:11.1773187Z     query_states = self.q(hidden_states)
2025-08-14T22:16:11.1773332Z 
2025-08-14T22:16:11.1773453Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1773829Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1774173Z     return mod(**inputs)
2025-08-14T22:16:11.1774539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1774928Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1775317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1775704Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1776070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1776445Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1776841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1777290Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1777688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1778114Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1778513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:16:11.1778917Z     key_states = self.k(current_states)
2025-08-14T22:16:11.1779059Z 
2025-08-14T22:16:11.1779170Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1779557Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1779906Z     return mod(**inputs)
2025-08-14T22:16:11.1780281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1780678Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1781077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1781478Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1781843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1782237Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1782640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1783050Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1783446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1783853Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1784256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:16:11.1784654Z     value_states = self.v(current_states)
2025-08-14T22:16:11.1784808Z 
2025-08-14T22:16:11.1784895Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.1785128Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.1785382Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1785763Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1786119Z     return mod(**inputs)
2025-08-14T22:16:11.1786495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1786892Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1787287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1787716Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1788089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1788468Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1788863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1789264Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1789654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1790054Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1790451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:16:11.1790838Z     attn_output = self.o(attn_output)
2025-08-14T22:16:11.1790966Z 
2025-08-14T22:16:11.1791071Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1791432Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1791776Z     return mod(**inputs)
2025-08-14T22:16:11.1792141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1792540Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1792931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1793319Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1793693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1794062Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1794435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1794825Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1795202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1795621Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1796033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:16:11.1796403Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:16:11.1796546Z 
2025-08-14T22:16:11.1796650Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1797017Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1797362Z     return mod(**inputs)
2025-08-14T22:16:11.1797727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1798102Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1798472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1798854Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1799219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1799606Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1800001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1800406Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1800816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1801256Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1801677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:16:11.1802082Z     hidden_states = self.act(hidden_states)
2025-08-14T22:16:11.1802231Z 
2025-08-14T22:16:11.1802334Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1802694Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1803015Z     return mod(**inputs)
2025-08-14T22:16:11.1803359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1803731Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1804097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1804458Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1804803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1805174Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1805563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1806014Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1806422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1806881Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1807309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:16:11.1807712Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:16:11.1807863Z 
2025-08-14T22:16:11.1807974Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1808357Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1808695Z     return mod(**inputs)
2025-08-14T22:16:11.1809064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1809460Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1809843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1810324Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1810699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1811101Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1811505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1811907Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1812305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1812709Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1813100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:16:11.1813501Z     query_states = self.q(hidden_states)
2025-08-14T22:16:11.1813645Z 
2025-08-14T22:16:11.1813763Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1814140Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1814485Z     return mod(**inputs)
2025-08-14T22:16:11.1814851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1815244Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1815626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1816020Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1816411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1816792Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1817191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1817594Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1817992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1818385Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1818782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:16:11.1819176Z     key_states = self.k(current_states)
2025-08-14T22:16:11.1819316Z 
2025-08-14T22:16:11.1819424Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1819805Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1820146Z     return mod(**inputs)
2025-08-14T22:16:11.1820556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1820945Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1821331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1821775Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1822137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1822524Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1822920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1823323Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1823714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1824114Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1824516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:16:11.1824912Z     value_states = self.v(current_states)
2025-08-14T22:16:11.1825056Z 
2025-08-14T22:16:11.1825143Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.1825376Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.1825629Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1825999Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1826329Z     return mod(**inputs)
2025-08-14T22:16:11.1826695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1827097Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1827479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1827876Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1828245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1828621Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1828997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1829380Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1829757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1830133Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1830507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:16:11.1830903Z     query_states = self.q(hidden_states)
2025-08-14T22:16:11.1831040Z 
2025-08-14T22:16:11.1831145Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1831511Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1831843Z     return mod(**inputs)
2025-08-14T22:16:11.1832197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1832569Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1832941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1833317Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1833661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1834029Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1834402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1834802Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1835192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1835598Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1835977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:16:11.1836357Z     key_states = self.k(current_states)
2025-08-14T22:16:11.1836489Z 
2025-08-14T22:16:11.1836593Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1836958Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1837287Z     return mod(**inputs)
2025-08-14T22:16:11.1837632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1838011Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1838383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1838757Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1839103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1839470Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1839848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1840221Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1840603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1840983Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1841362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:16:11.1841738Z     value_states = self.v(current_states)
2025-08-14T22:16:11.1841879Z 
2025-08-14T22:16:11.1841960Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.1842177Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.1842410Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1842776Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1843102Z     return mod(**inputs)
2025-08-14T22:16:11.1843449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1843822Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1844194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1844565Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1844933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1845302Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1845673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1846051Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1846432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1846832Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1847227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:16:11.1847619Z     attn_output = self.o(attn_output)
2025-08-14T22:16:11.1847757Z 
2025-08-14T22:16:11.1847867Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1848247Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1848618Z     return mod(**inputs)
2025-08-14T22:16:11.1848999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1849403Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1849812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1850379Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1850751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1851180Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1851597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.1852012Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.1852418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.1852835Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.1853241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:16:11.1853639Z     query_states = self.q(hidden_states)
2025-08-14T22:16:11.1853796Z 
2025-08-14T22:16:11.1853908Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1854298Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1854644Z     return mod(**inputs)
2025-08-14T22:16:11.1855007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1855405Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1855799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1856188Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1856564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1856954Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1857357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1857754Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1858160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1858566Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1858960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:16:11.1859361Z     attn_output = self.o(attn_output)
2025-08-14T22:16:11.1859506Z 
2025-08-14T22:16:11.1859643Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1860033Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1860370Z     return mod(**inputs)
2025-08-14T22:16:11.1860737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1861137Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1861515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1861906Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1862442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1862831Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1863219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1863680Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1864109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:16:11.1864564Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:16:11.1864789Z 
2025-08-14T22:16:11.1864897Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1865285Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1865631Z     return mod(**inputs)
2025-08-14T22:16:11.1865993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1866387Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1866774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1867168Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1867535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1867920Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1868314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1868720Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1869137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1869578Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1870012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:16:11.1870399Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:16:11.1870551Z 
2025-08-14T22:16:11.1870664Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1871048Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1871392Z     return mod(**inputs)
2025-08-14T22:16:11.1871755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1872151Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1872549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1872934Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1873301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1873685Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1874082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1874517Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1874933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1875373Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1875790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:16:11.1876167Z     hidden_states = self.act(hidden_states)
2025-08-14T22:16:11.1876314Z 
2025-08-14T22:16:11.1876418Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1876776Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1877095Z     return mod(**inputs)
2025-08-14T22:16:11.1877444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:16:11.1877818Z     encoder_outputs = self.encoder(
2025-08-14T22:16:11.1878182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1878609Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1878985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1879382Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1879748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1880137Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1880520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1880931Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1881335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:16:11.1881714Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:16:11.1881848Z 
2025-08-14T22:16:11.1881960Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1882313Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1882642Z     return mod(**inputs)
2025-08-14T22:16:11.1882988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1883361Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1883723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1884095Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1884444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1884809Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1885177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.1885559Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.1885933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.1886312Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.1886694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:16:11.1887070Z     key_states = self.k(current_states)
2025-08-14T22:16:11.1887204Z 
2025-08-14T22:16:11.1887315Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1887673Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1888001Z     return mod(**inputs)
2025-08-14T22:16:11.1888374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1888749Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1889126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1889506Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1889861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1890292Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1890690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.1891095Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.1891493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.1891907Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.1892302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:16:11.1892744Z     value_states = self.v(current_states)
2025-08-14T22:16:11.1892890Z 
2025-08-14T22:16:11.1892984Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.1893225Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.1893469Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1893848Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1894198Z     return mod(**inputs)
2025-08-14T22:16:11.1894570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1894965Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1895349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1895743Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1896115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1896501Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1896887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.1897290Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.1897685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.1898082Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.1898479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:16:11.1898873Z     attn_output = self.o(attn_output)
2025-08-14T22:16:11.1899012Z 
2025-08-14T22:16:11.1899131Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1899509Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1899853Z     return mod(**inputs)
2025-08-14T22:16:11.1900220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1900615Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1901003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1901396Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1901766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1902149Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1902525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1902940Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1903319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1903729Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1904139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:16:11.1904512Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:16:11.1904647Z 
2025-08-14T22:16:11.1904750Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1905105Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1905423Z     return mod(**inputs)
2025-08-14T22:16:11.1905765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1906131Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1906493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1906906Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1907249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1907635Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1908009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1908401Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1908780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1909195Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1909607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:16:11.1909977Z     hidden_states = self.act(hidden_states)
2025-08-14T22:16:11.1910120Z 
2025-08-14T22:16:11.1910224Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1910586Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1910916Z     return mod(**inputs)
2025-08-14T22:16:11.1911256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1911634Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1912005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1912378Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1912721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1913088Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1913461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1913849Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1914238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1914652Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1915061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:16:11.1915431Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:16:11.1915574Z 
2025-08-14T22:16:11.1915675Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1916036Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1916355Z     return mod(**inputs)
2025-08-14T22:16:11.1916771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1917149Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1917519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1917888Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1918265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1918629Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1919002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1919371Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1919747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1920130Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1920521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:16:11.1920912Z     query_states = self.q(hidden_states)
2025-08-14T22:16:11.1921057Z 
2025-08-14T22:16:11.1921162Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1921542Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1921867Z     return mod(**inputs)
2025-08-14T22:16:11.1922220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1922606Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1922972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1923347Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1923704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1924076Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1924449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1924835Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1925216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1925594Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1925975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:16:11.1926353Z     key_states = self.k(current_states)
2025-08-14T22:16:11.1926491Z 
2025-08-14T22:16:11.1926604Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1926966Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1927301Z     return mod(**inputs)
2025-08-14T22:16:11.1927671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1928073Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1928460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1928861Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1929236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1929618Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1930017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1930515Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1930947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1931347Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1931789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:16:11.1932190Z     value_states = self.v(current_states)
2025-08-14T22:16:11.1932332Z 
2025-08-14T22:16:11.1932419Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.1932648Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.1932899Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1933276Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1933612Z     return mod(**inputs)
2025-08-14T22:16:11.1933979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1934378Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1934762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1935207Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1935580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1936051Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1936438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1936845Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1937242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1937637Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1938039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:16:11.1938436Z     attn_output = self.o(attn_output)
2025-08-14T22:16:11.1938575Z 
2025-08-14T22:16:11.1938692Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1939066Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1939415Z     return mod(**inputs)
2025-08-14T22:16:11.1939780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1940175Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1940556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1940947Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1941292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1941663Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1942036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.1942416Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.1942789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.1943161Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.1943558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:16:11.1943959Z     query_states = self.q(hidden_states)
2025-08-14T22:16:11.1944093Z 
2025-08-14T22:16:11.1944196Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1944551Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1944874Z     return mod(**inputs)
2025-08-14T22:16:11.1945242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1945611Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1945984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1946352Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1946693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1947055Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1947428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.1947804Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.1948164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.1948543Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.1948915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:16:11.1949310Z     key_states = self.k(current_states)
2025-08-14T22:16:11.1949460Z 
2025-08-14T22:16:11.1949565Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1949944Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1950268Z     return mod(**inputs)
2025-08-14T22:16:11.1950606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1950977Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1951344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1951715Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1952058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1952422Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1952794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.1953162Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.1953535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.1953912Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.1954292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:16:11.1954659Z     value_states = self.v(current_states)
2025-08-14T22:16:11.1954803Z 
2025-08-14T22:16:11.1954886Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.1955104Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.1955334Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1955691Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1956020Z     return mod(**inputs)
2025-08-14T22:16:11.1956369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1956739Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1957111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1957482Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1957823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1958187Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1958557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.1958968Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.1959362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.1959765Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.1960164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:16:11.1960564Z     attn_output = self.o(attn_output)
2025-08-14T22:16:11.1960701Z 
2025-08-14T22:16:11.1960809Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1961190Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1961536Z     return mod(**inputs)
2025-08-14T22:16:11.1961900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1962457Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1962860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1963315Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1963715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1964129Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1964521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1964927Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1965341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1965784Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1966222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:16:11.1966614Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:16:11.1966768Z 
2025-08-14T22:16:11.1966878Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1967265Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1967611Z     return mod(**inputs)
2025-08-14T22:16:11.1967975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1968369Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1968756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1969144Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1969516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1969902Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1970356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1970764Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1971168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1971600Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1972050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:16:11.1972447Z     hidden_states = self.act(hidden_states)
2025-08-14T22:16:11.1972601Z 
2025-08-14T22:16:11.1972710Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1973087Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1973422Z     return mod(**inputs)
2025-08-14T22:16:11.1973820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1974222Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1974610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1974997Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1975366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1975754Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1976138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.1976546Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.1976951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.1977390Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.1977820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:16:11.1978263Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:16:11.1978414Z 
2025-08-14T22:16:11.1978526Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1978899Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1979260Z     return mod(**inputs)
2025-08-14T22:16:11.1979631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1980025Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1980397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1980768Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1981115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1981480Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1981848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1982230Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1982609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1982984Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1983364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:16:11.1983737Z     query_states = self.q(hidden_states)
2025-08-14T22:16:11.1983871Z 
2025-08-14T22:16:11.1984020Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1990739Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1991120Z     return mod(**inputs)
2025-08-14T22:16:11.1991547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1991977Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1992382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1992794Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1993180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1993581Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1993985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.1994402Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.1994937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.1995360Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.1995765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:16:11.1996171Z     key_states = self.k(current_states)
2025-08-14T22:16:11.1996320Z 
2025-08-14T22:16:11.1996451Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.1996840Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.1997194Z     return mod(**inputs)
2025-08-14T22:16:11.1997578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.1997982Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.1998371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.1998770Z     layer_outputs = layer_module(
2025-08-14T22:16:11.1999196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.1999616Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.1999998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.2000398Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.2000771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.2001147Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.2001523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:16:11.2001900Z     value_states = self.v(current_states)
2025-08-14T22:16:11.2002039Z 
2025-08-14T22:16:11.2002129Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.2002345Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.2002591Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2002979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2003319Z     return mod(**inputs)
2025-08-14T22:16:11.2003690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2004091Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2004476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2004867Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2005415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2005802Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2006191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.2006593Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.2006992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.2007395Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.2007789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:16:11.2008189Z     attn_output = self.o(attn_output)
2025-08-14T22:16:11.2008329Z 
2025-08-14T22:16:11.2008453Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2008830Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2009176Z     return mod(**inputs)
2025-08-14T22:16:11.2009562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2009964Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2010565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2010987Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2011400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2011815Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2012220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.2012625Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.2013037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:16:11.2013518Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:16:11.2013724Z 
2025-08-14T22:16:11.2013846Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2014292Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2014660Z     return mod(**inputs)
2025-08-14T22:16:11.2015049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2015477Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2015888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2016301Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2016683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2017089Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2017498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.2017927Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.2018348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.2018771Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.2019200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:16:11.2019619Z     query_states = self.q(hidden_states)
2025-08-14T22:16:11.2019766Z 
2025-08-14T22:16:11.2019880Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2020280Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2020646Z     return mod(**inputs)
2025-08-14T22:16:11.2021029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2021452Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2021862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2022275Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2022654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2023051Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2023457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.2023871Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.2024281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.2024695Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.2025121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:16:11.2025530Z     key_states = self.k(current_states)
2025-08-14T22:16:11.2025684Z 
2025-08-14T22:16:11.2025800Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2026201Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2026560Z     return mod(**inputs)
2025-08-14T22:16:11.2026946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2027355Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2027756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2028159Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2028552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2028962Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2029375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.2029837Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.2030251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.2030694Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.2031095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:16:11.2031508Z     value_states = self.v(current_states)
2025-08-14T22:16:11.2031669Z 
2025-08-14T22:16:11.2031758Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.2031995Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.2032249Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2032660Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2033009Z     return mod(**inputs)
2025-08-14T22:16:11.2033386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2033783Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2034183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2034594Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2034973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2035375Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2035785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.2036192Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.2036605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.2037022Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.2037444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:16:11.2037833Z     attn_output = self.o(attn_output)
2025-08-14T22:16:11.2037980Z 
2025-08-14T22:16:11.2038088Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2038477Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2038822Z     return mod(**inputs)
2025-08-14T22:16:11.2039187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2039580Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2039973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2040384Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2040760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2041148Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2041542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.2041952Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.2042364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.2042806Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.2043237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:16:11.2043640Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:16:11.2043791Z 
2025-08-14T22:16:11.2043906Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2044322Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2044678Z     return mod(**inputs)
2025-08-14T22:16:11.2045053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2045489Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2045874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2046277Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2046652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2047042Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2047435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.2047855Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.2048273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.2048719Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.2049155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:16:11.2049561Z     hidden_states = self.act(hidden_states)
2025-08-14T22:16:11.2049707Z 
2025-08-14T22:16:11.2049825Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2050318Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2050682Z     return mod(**inputs)
2025-08-14T22:16:11.2051063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2051478Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2051884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2052299Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2052683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2053080Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2053489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.2053920Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.2054343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.2054798Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.2055288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:16:11.2055713Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:16:11.2055866Z 
2025-08-14T22:16:11.2055991Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2056396Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2056754Z     return mod(**inputs)
2025-08-14T22:16:11.2057132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2057549Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2057962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2058378Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2058765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2059171Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2059616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.2060060Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.2060485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.2060933Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.2061357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:16:11.2061778Z     query_states = self.q(hidden_states)
2025-08-14T22:16:11.2061931Z 
2025-08-14T22:16:11.2062264Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2062685Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2063095Z     return mod(**inputs)
2025-08-14T22:16:11.2063495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2063914Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2064346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2064779Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2065165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2065581Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2065997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.2066428Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.2066842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.2067274Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.2067673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:16:11.2068056Z     key_states = self.k(current_states)
2025-08-14T22:16:11.2068202Z 
2025-08-14T22:16:11.2068306Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2068674Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2069004Z     return mod(**inputs)
2025-08-14T22:16:11.2069350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2069733Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2070114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2070488Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2070970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2071343Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2071726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.2072103Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.2072480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.2072871Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.2073263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:16:11.2073638Z     value_states = self.v(current_states)
2025-08-14T22:16:11.2073784Z 
2025-08-14T22:16:11.2073867Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.2074088Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.2074326Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2074729Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2075084Z     return mod(**inputs)
2025-08-14T22:16:11.2075443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2075846Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2076220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2076593Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2076936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2077302Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2077676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.2078057Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.2078437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.2078818Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.2079195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:16:11.2079564Z     attn_output = self.o(attn_output)
2025-08-14T22:16:11.2079704Z 
2025-08-14T22:16:11.2079810Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2080172Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2080497Z     return mod(**inputs)
2025-08-14T22:16:11.2080839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2081216Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2081595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2081964Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2082321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2082689Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2083060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.2083435Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.2083810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.2084214Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.2084618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:16:11.2085036Z     query_states = self.q(hidden_states)
2025-08-14T22:16:11.2085189Z 
2025-08-14T22:16:11.2085302Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2085692Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2086035Z     return mod(**inputs)
2025-08-14T22:16:11.2086413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2086814Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2087212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2087608Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2087984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2088377Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2088771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.2089207Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.2089622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.2090048Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.2090540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:16:11.2090955Z     key_states = self.k(current_states)
2025-08-14T22:16:11.2091101Z 
2025-08-14T22:16:11.2091223Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2091619Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2091971Z     return mod(**inputs)
2025-08-14T22:16:11.2092350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2092757Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2093153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2093563Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2093944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2094335Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2094724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.2095135Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.2095535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.2095943Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.2096355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:16:11.2096761Z     value_states = self.v(current_states)
2025-08-14T22:16:11.2096909Z 
2025-08-14T22:16:11.2097001Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.2097224Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.2097481Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2097871Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2098212Z     return mod(**inputs)
2025-08-14T22:16:11.2098588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2098997Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2099404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2099837Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2100225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2100626Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2101019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.2101434Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.2101837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.2102251Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.2102648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:16:11.2103048Z     attn_output = self.o(attn_output)
2025-08-14T22:16:11.2103187Z 
2025-08-14T22:16:11.2103307Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2103695Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2104065Z     return mod(**inputs)
2025-08-14T22:16:11.2104471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2104888Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2105277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2105677Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2106056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2106443Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2106827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.2107235Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.2107637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 647, in forward
2025-08-14T22:16:11.2108095Z     layer_output = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:16:11.2108299Z 
2025-08-14T22:16:11.2108409Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2108789Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2109132Z     return mod(**inputs)
2025-08-14T22:16:11.2109490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2109883Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2110274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2110661Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2111027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2111406Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2111799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.2112205Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.2112622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.2113040Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.2113451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:16:11.2113876Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:16:11.2114027Z 
2025-08-14T22:16:11.2114138Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2114552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2114899Z     return mod(**inputs)
2025-08-14T22:16:11.2115271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2115670Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2116065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2116458Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2116831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2117222Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2117610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.2118027Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.2118440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.2118926Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.2119357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:16:11.2119782Z     hidden_states = self.act(hidden_states)
2025-08-14T22:16:11.2119927Z 
2025-08-14T22:16:11.2120049Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2120432Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2120769Z     return mod(**inputs)
2025-08-14T22:16:11.2121146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2121543Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2121928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2122327Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2122701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2123089Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2123479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.2123898Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.2124308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.2124743Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.2125176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:16:11.2125577Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:16:11.2125721Z 
2025-08-14T22:16:11.2125841Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2126224Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2126568Z     return mod(**inputs)
2025-08-14T22:16:11.2126941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2127338Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2127719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2128120Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2128489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2128868Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2129287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.2129695Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.2130092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.2130596Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.2131010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:16:11.2131421Z     query_states = self.q(hidden_states)
2025-08-14T22:16:11.2131572Z 
2025-08-14T22:16:11.2131695Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2132084Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2132431Z     return mod(**inputs)
2025-08-14T22:16:11.2132803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2133196Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2133642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2134040Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2134407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2134816Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2135216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.2135621Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.2136012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.2136419Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.2136820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:16:11.2137231Z     key_states = self.k(current_states)
2025-08-14T22:16:11.2137371Z 
2025-08-14T22:16:11.2137482Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2137871Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2138220Z     return mod(**inputs)
2025-08-14T22:16:11.2138578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2138980Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2139372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2139766Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2140127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2140513Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2140907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.2141301Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.2141697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.2142102Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.2142498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:16:11.2142887Z     value_states = self.v(current_states)
2025-08-14T22:16:11.2143031Z 
2025-08-14T22:16:11.2143113Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.2143334Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.2143567Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2143958Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2144293Z     return mod(**inputs)
2025-08-14T22:16:11.2144652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2145030Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2145415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2145794Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2146141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2146525Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2146922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.2147332Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.2147736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.2148142Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.2148536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:16:11.2148955Z     attn_output = self.o(attn_output)
2025-08-14T22:16:11.2149088Z 
2025-08-14T22:16:11.2149192Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2149568Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2149909Z     return mod(**inputs)
2025-08-14T22:16:11.2150269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2150669Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2151075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2151473Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2151839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2152232Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2152636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.2153036Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.2153434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.2153843Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.2154248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:16:11.2154641Z     query_states = self.q(hidden_states)
2025-08-14T22:16:11.2154791Z 
2025-08-14T22:16:11.2154903Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2155289Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2155635Z     return mod(**inputs)
2025-08-14T22:16:11.2156014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2156419Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2156810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2157201Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2157570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2157961Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2158386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.2158784Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.2159184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.2159632Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.2160028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:16:11.2160432Z     key_states = self.k(current_states)
2025-08-14T22:16:11.2160580Z 
2025-08-14T22:16:11.2160692Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2161075Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2161413Z     return mod(**inputs)
2025-08-14T22:16:11.2161782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2162395Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2162791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2163350Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2163740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2164176Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2164582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.2165007Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.2165429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.2165857Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.2166272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:16:11.2166685Z     value_states = self.v(current_states)
2025-08-14T22:16:11.2166834Z 
2025-08-14T22:16:11.2166929Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.2167160Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.2167421Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2167822Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2168199Z     return mod(**inputs)
2025-08-14T22:16:11.2168569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2168982Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2169383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2169784Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2170226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2170650Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2171061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.2171472Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.2171873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.2172278Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.2172677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:16:11.2173081Z     attn_output = self.o(attn_output)
2025-08-14T22:16:11.2173229Z 
2025-08-14T22:16:11.2173342Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2173777Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2174115Z     return mod(**inputs)
2025-08-14T22:16:11.2174491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2174891Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2175273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2175668Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2176037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2176405Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2176769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.2177156Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.2177545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.2177991Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.2178417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:16:11.2178867Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:16:11.2179002Z 
2025-08-14T22:16:11.2179114Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2179474Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2179549Z     return mod(**inputs)
2025-08-14T22:16:11.2179788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2179872Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2180114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2180187Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2180423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2180504Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2180737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.2180837Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.2181071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.2181196Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.2181435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:16:11.2181514Z     hidden_states = self.act(hidden_states)
2025-08-14T22:16:11.2181518Z 
2025-08-14T22:16:11.2181636Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2181841Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2181918Z     return mod(**inputs)
2025-08-14T22:16:11.2182155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2182232Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2182475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2182545Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2182769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2182856Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2183113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.2183213Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.2183451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.2183567Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.2183809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:16:11.2183888Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:16:11.2183891Z 
2025-08-14T22:16:11.2184001Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2184202Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2184269Z     return mod(**inputs)
2025-08-14T22:16:11.2184512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2184587Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2184841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2184937Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2185164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2185267Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2185498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.2185585Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.2185828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 343, in forward
2025-08-14T22:16:11.2185955Z     hidden_states = hidden_states + self.dropout(forwarded_states)
2025-08-14T22:16:11.2185959Z 
2025-08-14T22:16:11.2186062Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2186270Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2186337Z     return mod(**inputs)
2025-08-14T22:16:11.2186583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2186657Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2186894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2186975Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2187196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2187283Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2187518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.2187599Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.2187838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.2187922Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.2188151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:16:11.2188243Z     query_states = self.q(hidden_states)
2025-08-14T22:16:11.2188246Z 
2025-08-14T22:16:11.2188349Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2188551Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2188618Z     return mod(**inputs)
2025-08-14T22:16:11.2188853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2188935Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2189191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2189267Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2189507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2189588Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2189827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.2189906Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.2190136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.2190226Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.2190457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:16:11.2190543Z     key_states = self.k(current_states)
2025-08-14T22:16:11.2190564Z 
2025-08-14T22:16:11.2190669Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2190880Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2190955Z     return mod(**inputs)
2025-08-14T22:16:11.2192370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2192443Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2192681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2192753Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2192985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2193063Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2193291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.2193380Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.2193611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.2193695Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.2193944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:16:11.2194023Z     value_states = self.v(current_states)
2025-08-14T22:16:11.2194026Z 
2025-08-14T22:16:11.2194117Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.2194198Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.2194300Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2194514Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2194580Z     return mod(**inputs)
2025-08-14T22:16:11.2194810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2194891Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2195121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2195200Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2195416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2195494Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2195736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:16:11.2195814Z     self_attention_outputs = self.layer[0](
2025-08-14T22:16:11.2196082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:16:11.2196164Z     attention_output = self.SelfAttention(
2025-08-14T22:16:11.2196395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:16:11.2196479Z     attn_output = self.o(attn_output)
2025-08-14T22:16:11.2196484Z 
2025-08-14T22:16:11.2196583Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2196775Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2196848Z     return mod(**inputs)
2025-08-14T22:16:11.2197077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2197155Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2197383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2197451Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2197674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2197789Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2198013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.2198118Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.2198342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.2198431Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.2198656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:16:11.2198732Z     query_states = self.q(hidden_states)
2025-08-14T22:16:11.2198735Z 
2025-08-14T22:16:11.2198843Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2199036Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2199108Z     return mod(**inputs)
2025-08-14T22:16:11.2199338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2199409Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2199645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2199715Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2199928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2200013Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2200264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.2200351Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.2200584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.2200670Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.2200906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:16:11.2200983Z     key_states = self.k(current_states)
2025-08-14T22:16:11.2200987Z 
2025-08-14T22:16:11.2201094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2201290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2201355Z     return mod(**inputs)
2025-08-14T22:16:11.2201600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2201675Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2201934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2202017Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2202242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2202327Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2202561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.2202640Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.2202895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.2202975Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.2203233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:16:11.2203319Z     value_states = self.v(current_states)
2025-08-14T22:16:11.2203324Z 
2025-08-14T22:16:11.2203404Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.2203509Z cudagraph partition due to non gpu ops
2025-08-14T22:16:11.2203627Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2203826Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2203919Z     return mod(**inputs)
2025-08-14T22:16:11.2204156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2204231Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2204473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2204543Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2204775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2204855Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2205088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:16:11.2205178Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:16:11.2205410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:16:11.2205502Z     attention_output = self.EncDecAttention(
2025-08-14T22:16:11.2205734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:16:11.2205811Z     attn_output = self.o(attn_output)
2025-08-14T22:16:11.2205815Z 
2025-08-14T22:16:11.2205926Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2206123Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2206188Z     return mod(**inputs)
2025-08-14T22:16:11.2206431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2206508Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2206754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2206828Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2207050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2207136Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2207371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.2207460Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.2207705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.2207852Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.2208099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:16:11.2208178Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:16:11.2208181Z 
2025-08-14T22:16:11.2208284Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2208492Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2208558Z     return mod(**inputs)
2025-08-14T22:16:11.2208809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2208880Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2209124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2209201Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2209426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2209522Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2209778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.2209890Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.2210247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.2210386Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.2210655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:16:11.2210755Z     hidden_states = self.act(hidden_states)
2025-08-14T22:16:11.2210759Z 
2025-08-14T22:16:11.2210874Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2211096Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2211169Z     return mod(**inputs)
2025-08-14T22:16:11.2211433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:16:11.2211520Z     decoder_outputs = self.decoder(
2025-08-14T22:16:11.2211760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:16:11.2211833Z     layer_outputs = layer_module(
2025-08-14T22:16:11.2212064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:11.2212144Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:11.2212387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:16:11.2212478Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:16:11.2212711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:16:11.2212839Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:16:11.2213072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:16:11.2213155Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:16:11.2213167Z 
2025-08-14T22:16:11.2213273Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:11.2213473Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:11.2213546Z     return mod(**inputs)
2025-08-14T22:16:11.2213783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1791, in forward
2025-08-14T22:16:11.2213869Z     lm_logits = self.lm_head(sequence_output)
2025-08-14T22:16:11.2213873Z 
2025-08-14T22:16:21.6847228Z Compilation time (from dynamo_timed): 37.694568025
2025-08-14T22:16:21.7046009Z pass
2025-08-14T22:16:21.7046461Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:16:21.7047338Z TIMING: _recursive_pre_grad_passes:0.01224 _recursive_joint_graph_passes:1.29288 _recursive_post_grad_passes:0.10348 async_compile.wait:0.56674 code_gen:9.86218 inductor_compile:12.92 backend_compile:30.49497 gc:0.00034 entire_frame_compile:37.69457 total_wall_time:37.69457
2025-08-14T22:16:21.7048627Z STATS: call_* op count: 806 | FakeTensorMode.__torch_dispatch__:20264 | FakeTensor.__torch_dispatch__:4610 | attempt fast:30 | fast is_contiguous:24 | slow both tensors nontrivially broadcast:4 | slow no contiguity match:2 | ProxyTorchDispatchMode.__torch_dispatch__:7757
2025-08-14T22:16:21.7049418Z Dynamo produced 1 graphs covering 806 ops with 0 graph breaks (0 unique)
2025-08-14T22:16:27.7568473Z 
2025-08-14T22:16:28.4692923Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:16:28.4693389Z 
2025-08-14T22:16:28.4739281Z config.json:   0% 0.00/1.21k [00:00<?, ?B/s]
2025-08-14T22:16:28.4739635Z config.json: 100% 1.21k/1.21k [00:00<00:00, 269kB/s]
2025-08-14T22:16:42.0671940Z 
2025-08-14T22:16:42.0672650Z loading model: 0it [00:14, ?it/s]
2025-08-14T22:16:42.0699252Z cpu  eval  hf_T5_base                         
2025-08-14T22:17:14.1587247Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:17:26.7079500Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:17:39.5695064Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:18:33.2513343Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2513855Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2514247Z     return mod(**inputs)
2025-08-14T22:18:33.2514716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.2515168Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.2515598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2516157Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2516564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2516980Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2517414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2517843Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2518273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2518994Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2519437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 546, in forward
2025-08-14T22:18:33.2519906Z     position_bias = position_bias + causal_mask
2025-08-14T22:18:33.2520071Z 
2025-08-14T22:18:33.2520205Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2520617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2520999Z     return mod(**inputs)
2025-08-14T22:18:33.2521404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2521829Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2522267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2522700Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2523583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2524021Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2524454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2524888Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2525311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2526127Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2526564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.2526990Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.2527142Z 
2025-08-14T22:18:33.2527267Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2527678Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2528131Z     return mod(**inputs)
2025-08-14T22:18:33.2528693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2529108Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2529618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2530032Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2530690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2531103Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2531533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2531971Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2532398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2532829Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2533249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.2533675Z     key_states = self.k(current_states)
2025-08-14T22:18:33.2533825Z 
2025-08-14T22:18:33.2533942Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2534346Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2534723Z     return mod(**inputs)
2025-08-14T22:18:33.2535125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2535542Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2535948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2536368Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2536757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2537174Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2537599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2538019Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2538434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2538850Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2539261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.2539663Z     value_states = self.v(current_states)
2025-08-14T22:18:33.2539820Z 
2025-08-14T22:18:33.2539943Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2540186Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2540448Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2540842Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2541206Z     return mod(**inputs)
2025-08-14T22:18:33.2541590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2541992Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2542403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2542822Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2543207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2543611Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2544342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2544813Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2545228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2545670Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2546074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.2546482Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.2546625Z 
2025-08-14T22:18:33.2546739Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2547140Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2547534Z     return mod(**inputs)
2025-08-14T22:18:33.2547915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2548324Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2548742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2549147Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2549524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2549926Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2550332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2550755Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2551206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2551659Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2552117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.2552533Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.2552683Z 
2025-08-14T22:18:33.2552806Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2553197Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2553554Z     return mod(**inputs)
2025-08-14T22:18:33.2553930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2554341Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2554734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2555132Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2555540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2555936Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2556349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2556777Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2557201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2557646Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2558090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.2558501Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.2558649Z 
2025-08-14T22:18:33.2558770Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2559172Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2559614Z     return mod(**inputs)
2025-08-14T22:18:33.2560014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2560414Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2560843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2561264Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2561646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2562384Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2562800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2563227Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2563675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2564130Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2564586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.2565003Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.2565150Z 
2025-08-14T22:18:33.2565261Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2565655Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2566030Z     return mod(**inputs)
2025-08-14T22:18:33.2566421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2566835Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2567230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2567632Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2568007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2568411Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2568821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2569230Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2569625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2570044Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2570535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.2570943Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.2571099Z 
2025-08-14T22:18:33.2571274Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2571682Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2572041Z     return mod(**inputs)
2025-08-14T22:18:33.2572414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2572829Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2573233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2573630Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2574011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2574418Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2574828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2575236Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2575737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2576163Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2576613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.2577016Z     key_states = self.k(current_states)
2025-08-14T22:18:33.2577179Z 
2025-08-14T22:18:33.2577300Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2577708Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2578061Z     return mod(**inputs)
2025-08-14T22:18:33.2578445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2578861Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2579363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2579778Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2580161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2580567Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2580970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2581391Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2581809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2582228Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2582631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.2583041Z     value_states = self.v(current_states)
2025-08-14T22:18:33.2583190Z 
2025-08-14T22:18:33.2583286Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2583522Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2583773Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2584169Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2584543Z     return mod(**inputs)
2025-08-14T22:18:33.2584920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2585330Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2585731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2586147Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2586552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2586958Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2587368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2587782Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2588198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2588612Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2589021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.2589426Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.2589575Z 
2025-08-14T22:18:33.2589687Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2590085Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2590437Z     return mod(**inputs)
2025-08-14T22:18:33.2590864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2591290Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2591701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2592137Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2592523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2592930Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2593344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2593779Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2594218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2594707Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2595211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.2595652Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.2595811Z 
2025-08-14T22:18:33.2595924Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2596337Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2596720Z     return mod(**inputs)
2025-08-14T22:18:33.2597100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2597553Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2597974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2598403Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2598808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2599226Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2599658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2600197Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2600616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2601072Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2601519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.2601932Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.2602081Z 
2025-08-14T22:18:33.2602322Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2602726Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2603124Z     return mod(**inputs)
2025-08-14T22:18:33.2603512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2603932Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2604328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2604756Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2605140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2605553Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2605971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2606407Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2606884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2607328Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2607799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.2608205Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.2608351Z 
2025-08-14T22:18:33.2608469Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2608856Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2609205Z     return mod(**inputs)
2025-08-14T22:18:33.2609584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2609986Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2610466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2610883Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2611266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2611658Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2612068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2612480Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2612880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2613301Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2613715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.2614126Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.2614274Z 
2025-08-14T22:18:33.2614394Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2614790Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2615151Z     return mod(**inputs)
2025-08-14T22:18:33.2615524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2615935Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2616337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2616741Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2617115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2617585Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2617991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2618408Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2618810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2619227Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2619633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.2620034Z     key_states = self.k(current_states)
2025-08-14T22:18:33.2620186Z 
2025-08-14T22:18:33.2620299Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2620689Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2621048Z     return mod(**inputs)
2025-08-14T22:18:33.2621426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2621867Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2622292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2622717Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2623101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2623509Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2623916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2624324Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2624734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2625154Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2625560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.2625974Z     value_states = self.v(current_states)
2025-08-14T22:18:33.2626127Z 
2025-08-14T22:18:33.2626214Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2626448Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2626704Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2627097Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2627452Z     return mod(**inputs)
2025-08-14T22:18:33.2627828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2628239Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2628642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2629063Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2629441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2629846Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2630256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2630674Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2631115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2631552Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2631993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.2632420Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.2632574Z 
2025-08-14T22:18:33.2632728Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2633163Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2633550Z     return mod(**inputs)
2025-08-14T22:18:33.2633929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2634357Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2634762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2635197Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2635606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2636020Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2636459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2636897Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2660814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2661349Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2661933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.2662654Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.2662828Z 
2025-08-14T22:18:33.2662957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2663380Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2663745Z     return mod(**inputs)
2025-08-14T22:18:33.2664148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2664575Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2664988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2665414Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2665808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2666221Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2666631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2667065Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2667491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2667946Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2668387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.2668800Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.2668956Z 
2025-08-14T22:18:33.2669086Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2669477Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2669840Z     return mod(**inputs)
2025-08-14T22:18:33.2670220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2670630Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2671025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2671428Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2671817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2672352Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2672766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2673187Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2673602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2674057Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2674496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.2674895Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.2675053Z 
2025-08-14T22:18:33.2675169Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2675565Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2675914Z     return mod(**inputs)
2025-08-14T22:18:33.2676298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2676763Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2677202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2677631Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2678010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2678400Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2678801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2679216Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2679621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2680036Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2680437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.2680842Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.2680990Z 
2025-08-14T22:18:33.2681107Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2681503Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2681849Z     return mod(**inputs)
2025-08-14T22:18:33.2682220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2682619Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2683007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2683409Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2683781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2684176Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2684570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2684978Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2685374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2685772Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2686179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.2686582Z     key_states = self.k(current_states)
2025-08-14T22:18:33.2686724Z 
2025-08-14T22:18:33.2686847Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2687262Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2687621Z     return mod(**inputs)
2025-08-14T22:18:33.2688001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2688395Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2688791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2689197Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2689573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2689966Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2690474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2690892Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2691301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2691740Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2692178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.2692586Z     value_states = self.v(current_states)
2025-08-14T22:18:33.2692785Z 
2025-08-14T22:18:33.2692876Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2693112Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2693371Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2693763Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2694110Z     return mod(**inputs)
2025-08-14T22:18:33.2694494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2694913Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2695312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2695775Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2696168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2696577Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2696988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2697405Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2697823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2698239Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2698663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.2699080Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.2699224Z 
2025-08-14T22:18:33.2699348Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2699734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2700091Z     return mod(**inputs)
2025-08-14T22:18:33.2700474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2700880Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2701287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2701690Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2702065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2702459Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2702901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2703305Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2703706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:18:33.2704157Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:18:33.2704372Z 
2025-08-14T22:18:33.2704481Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2704862Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2705204Z     return mod(**inputs)
2025-08-14T22:18:33.2705568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2705966Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2706359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2706781Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2707176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2707571Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2707992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2708406Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2708817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2709265Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2709698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.2710106Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.2710252Z 
2025-08-14T22:18:33.2710376Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2710758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2711103Z     return mod(**inputs)
2025-08-14T22:18:33.2711472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2711865Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2712244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2712646Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2713021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2713417Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2713819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2714235Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2714658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2715100Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2715546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.2715944Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.2716091Z 
2025-08-14T22:18:33.2716208Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2716587Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2716930Z     return mod(**inputs)
2025-08-14T22:18:33.2717348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2717770Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2718172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2718588Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2718978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2719376Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2719799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2720228Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2720659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2721107Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2721569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.2722039Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.2722213Z 
2025-08-14T22:18:33.2722336Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2722825Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2723194Z     return mod(**inputs)
2025-08-14T22:18:33.2723589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2723994Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2724419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2724836Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2725212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2725665Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2726117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2726578Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2727005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2727455Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2727906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.2728317Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.2728468Z 
2025-08-14T22:18:33.2728582Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2728976Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2729335Z     return mod(**inputs)
2025-08-14T22:18:33.2729712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2730134Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2730650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2731064Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2731450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2731848Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2732256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2732676Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2733136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2733545Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2733948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.2734353Z     key_states = self.k(current_states)
2025-08-14T22:18:33.2734500Z 
2025-08-14T22:18:33.2734613Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2735005Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2735355Z     return mod(**inputs)
2025-08-14T22:18:33.2735732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2736127Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2736522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2736925Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2737296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2737749Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2738152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2738583Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2738976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2739383Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2739787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.2740192Z     value_states = self.v(current_states)
2025-08-14T22:18:33.2740337Z 
2025-08-14T22:18:33.2740424Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2740662Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2740920Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2741303Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2741653Z     return mod(**inputs)
2025-08-14T22:18:33.2742024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2742425Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2742817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2743216Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2743591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2743976Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2744386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2744793Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2745195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2745594Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2745997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.2746401Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.2746542Z 
2025-08-14T22:18:33.2746653Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2747043Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2747397Z     return mod(**inputs)
2025-08-14T22:18:33.2747773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2748209Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2748612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2749015Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2749387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2749783Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2750188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2750608Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2751020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2751470Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2751918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.2752352Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.2752497Z 
2025-08-14T22:18:33.2752630Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2753027Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2753405Z     return mod(**inputs)
2025-08-14T22:18:33.2753775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2754194Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2754599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2755016Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2755395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2755796Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2756216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2756636Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2757070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2757526Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2757980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.2758388Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.2758544Z 
2025-08-14T22:18:33.2758656Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2759056Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2759409Z     return mod(**inputs)
2025-08-14T22:18:33.2759777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2760188Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2760583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2760992Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2761376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2761783Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2762460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2762894Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2763406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2763862Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2764294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.2764699Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.2764855Z 
2025-08-14T22:18:33.2764969Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2765355Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2765699Z     return mod(**inputs)
2025-08-14T22:18:33.2766080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2766488Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2766878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2767281Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2767694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2768125Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2768530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2768993Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2769399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2769812Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2770211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.2770711Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.2770857Z 
2025-08-14T22:18:33.2770977Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2771359Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2771713Z     return mod(**inputs)
2025-08-14T22:18:33.2772086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2772485Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2772873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2773276Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2773650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2774044Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2774450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2774861Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2775264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2775673Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2776073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.2776479Z     key_states = self.k(current_states)
2025-08-14T22:18:33.2776620Z 
2025-08-14T22:18:33.2776752Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2777131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2777484Z     return mod(**inputs)
2025-08-14T22:18:33.2777861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2778257Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2778672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2779075Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2779453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2779840Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2780256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2780665Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2781060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2781470Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2781873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.2782283Z     value_states = self.v(current_states)
2025-08-14T22:18:33.2782430Z 
2025-08-14T22:18:33.2782544Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2782782Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2783079Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2783466Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2783842Z     return mod(**inputs)
2025-08-14T22:18:33.2784223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2784632Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2785026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2785427Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2785809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2786195Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2786604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2787015Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2787418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2787825Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2788235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.2788644Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.2788789Z 
2025-08-14T22:18:33.2788909Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2789291Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2789643Z     return mod(**inputs)
2025-08-14T22:18:33.2790026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2790428Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2790848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2791252Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2791625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2792023Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2792426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2792834Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2793238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:18:33.2793724Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:18:33.2793938Z 
2025-08-14T22:18:33.2794050Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2794458Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2794813Z     return mod(**inputs)
2025-08-14T22:18:33.2795202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2795627Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2796034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2796445Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2796839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2797246Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2797659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2798124Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2798562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2799039Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2799506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.2799924Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.2800071Z 
2025-08-14T22:18:33.2800193Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2800594Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2800939Z     return mod(**inputs)
2025-08-14T22:18:33.2801329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2801747Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2802150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2802568Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2802950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2803353Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2803768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2804195Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2804615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2805057Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2805505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.2805915Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.2806066Z 
2025-08-14T22:18:33.2806190Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2806578Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2806936Z     return mod(**inputs)
2025-08-14T22:18:33.2807319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2807731Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2808126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2808535Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2808967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2809358Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2809764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2810183Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2810685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2811131Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2811581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.2812006Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.2812156Z 
2025-08-14T22:18:33.2812270Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2812676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2813061Z     return mod(**inputs)
2025-08-14T22:18:33.2813468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2813868Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2814288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2814704Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2815073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2815483Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2815887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2816294Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2816692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2817105Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2817512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.2817919Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.2818063Z 
2025-08-14T22:18:33.2818175Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2818565Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2818915Z     return mod(**inputs)
2025-08-14T22:18:33.2819283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2819686Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2820085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2820486Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2820859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2821254Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2821658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2822056Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2822464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2822877Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2823271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.2823669Z     key_states = self.k(current_states)
2025-08-14T22:18:33.2823823Z 
2025-08-14T22:18:33.2823970Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2824363Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2824716Z     return mod(**inputs)
2025-08-14T22:18:33.2825086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2825490Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2825885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2826324Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2826769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2827167Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2827578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2827977Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2828435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2828844Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2829268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.2829676Z     value_states = self.v(current_states)
2025-08-14T22:18:33.2829829Z 
2025-08-14T22:18:33.2829918Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2830150Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2830400Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2830789Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2831141Z     return mod(**inputs)
2025-08-14T22:18:33.2831515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2831925Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2832320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2832721Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2833092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2833490Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2833890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2834287Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2834692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2835101Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2835503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.2835900Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.2836046Z 
2025-08-14T22:18:33.2836157Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2836560Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2836921Z     return mod(**inputs)
2025-08-14T22:18:33.2837299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2837705Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2838103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2838510Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2838922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2839329Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2839749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2840170Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2840610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2841066Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2841513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.2841926Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.2842079Z 
2025-08-14T22:18:33.2842193Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2842594Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2842967Z     return mod(**inputs)
2025-08-14T22:18:33.2843370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2843786Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2844203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2844617Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2844992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2845397Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2845805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2846224Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2846640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2847081Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2847511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.2847916Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.2848061Z 
2025-08-14T22:18:33.2848184Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2848562Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2848915Z     return mod(**inputs)
2025-08-14T22:18:33.2849287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2849689Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2850077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2850573Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2850966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2851358Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2851778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2852204Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2852628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2853073Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2853520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.2853931Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.2854107Z 
2025-08-14T22:18:33.2854231Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2854615Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2854965Z     return mod(**inputs)
2025-08-14T22:18:33.2855344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2855747Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2856147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2856555Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2856930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2857314Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2857713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2858149Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2858568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2858980Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2859405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.2859811Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.2859958Z 
2025-08-14T22:18:33.2860073Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2860466Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2860813Z     return mod(**inputs)
2025-08-14T22:18:33.2861189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2861589Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2862208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2862631Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2863002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2863400Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2863804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2864214Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2864614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2865020Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2865440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.2865836Z     key_states = self.k(current_states)
2025-08-14T22:18:33.2865989Z 
2025-08-14T22:18:33.2866105Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2866497Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2866853Z     return mod(**inputs)
2025-08-14T22:18:33.2867223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2867629Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2868028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2868419Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2868794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2869264Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2869671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2870081Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2870486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2870896Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2871302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.2871698Z     value_states = self.v(current_states)
2025-08-14T22:18:33.2871858Z 
2025-08-14T22:18:33.2871945Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2872185Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2872439Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2872832Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2873218Z     return mod(**inputs)
2025-08-14T22:18:33.2873620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2874021Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2874420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2874849Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2875215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2875622Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2876025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2876438Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2876834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2877246Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2877663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.2878068Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.2878221Z 
2025-08-14T22:18:33.2878335Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2878724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2879081Z     return mod(**inputs)
2025-08-14T22:18:33.2879452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2879870Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2880284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2880696Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2881077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2881479Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2881891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2882292Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2882704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:18:33.2883171Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:18:33.2883373Z 
2025-08-14T22:18:33.2883493Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2883883Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2884252Z     return mod(**inputs)
2025-08-14T22:18:33.2884633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2885044Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2885444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2885857Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2886238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2886632Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2887054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2887473Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2887887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2888332Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2888852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.2889263Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.2889429Z 
2025-08-14T22:18:33.2889541Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2889934Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2890364Z     return mod(**inputs)
2025-08-14T22:18:33.2890751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2891159Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2891572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2892013Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2892400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2892823Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2893231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2893688Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2894105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2894556Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2895013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.2895435Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.2895596Z 
2025-08-14T22:18:33.2895710Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2896097Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2896452Z     return mod(**inputs)
2025-08-14T22:18:33.2896822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2897229Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2897629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2898036Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2898413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2898809Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2899213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2899649Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2900072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2900520Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2900963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.2901368Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.2901526Z 
2025-08-14T22:18:33.2901639Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2902031Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2902375Z     return mod(**inputs)
2025-08-14T22:18:33.2902752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2903159Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2903563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2903980Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2904382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2904795Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2905197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2905596Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2906002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2906409Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2906806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.2907211Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.2907364Z 
2025-08-14T22:18:33.2907477Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2907867Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2908208Z     return mod(**inputs)
2025-08-14T22:18:33.2908582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2908985Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2909374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2909780Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2910154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2910551Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2910946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2911357Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2911766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2912169Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2912567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.2912972Z     key_states = self.k(current_states)
2025-08-14T22:18:33.2913113Z 
2025-08-14T22:18:33.2913232Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2913612Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2913963Z     return mod(**inputs)
2025-08-14T22:18:33.2914366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2914780Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2915175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2915580Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2915962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2916358Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2916765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2917173Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2917584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2917986Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2918397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.2918828Z     value_states = self.v(current_states)
2025-08-14T22:18:33.2918996Z 
2025-08-14T22:18:33.2919084Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2919320Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2919609Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2920002Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2920359Z     return mod(**inputs)
2025-08-14T22:18:33.2920739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2921158Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2921555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2921974Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2922362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2922773Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2923189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2923603Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2924010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2924428Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2924850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.2925264Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.2925406Z 
2025-08-14T22:18:33.2925527Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2925920Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2926275Z     return mod(**inputs)
2025-08-14T22:18:33.2926667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2927086Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2927487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2927898Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2928276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2928675Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2929083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2929504Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2929945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2930483Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2930928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.2931344Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.2931492Z 
2025-08-14T22:18:33.2931606Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2931998Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2932372Z     return mod(**inputs)
2025-08-14T22:18:33.2932754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2933157Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2933555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2933990Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2934383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2934780Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2935230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2935648Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2936060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2936511Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2936955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.2937368Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.2937517Z 
2025-08-14T22:18:33.2937632Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2938030Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2938387Z     return mod(**inputs)
2025-08-14T22:18:33.2938779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2939182Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2939578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2939986Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2940354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2940749Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2941161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2941582Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2941997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2942445Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2942887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.2943288Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.2943443Z 
2025-08-14T22:18:33.2943555Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2943943Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2944296Z     return mod(**inputs)
2025-08-14T22:18:33.2944706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2945116Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2945513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2945907Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2946286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2946379Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2946635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2946724Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2946982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2947071Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2947323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.2947438Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.2947459Z 
2025-08-14T22:18:33.2947575Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2947813Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2947885Z     return mod(**inputs)
2025-08-14T22:18:33.2948145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2948232Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2948487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2948563Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2948815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2948902Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2949164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2949252Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2949504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2949600Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2949850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.2949942Z     key_states = self.k(current_states)
2025-08-14T22:18:33.2949946Z 
2025-08-14T22:18:33.2950057Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2950271Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2950353Z     return mod(**inputs)
2025-08-14T22:18:33.2950611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2950690Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2950950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2951029Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2951275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2951360Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2951611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2951705Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2951973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2952064Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2952330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.2952414Z     value_states = self.v(current_states)
2025-08-14T22:18:33.2952420Z 
2025-08-14T22:18:33.2952517Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2952604Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2952714Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2952937Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2953009Z     return mod(**inputs)
2025-08-14T22:18:33.2953272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2953352Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2953608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2953713Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2954016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2954104Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2954384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2954470Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2954732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2954820Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2955070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.2955163Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.2955169Z 
2025-08-14T22:18:33.2955280Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2955495Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2955573Z     return mod(**inputs)
2025-08-14T22:18:33.2955826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2955914Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2956166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2956243Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2956490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2956573Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2956831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2956918Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2957173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:18:33.2957323Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:18:33.2957329Z 
2025-08-14T22:18:33.2957438Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2957652Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2957730Z     return mod(**inputs)
2025-08-14T22:18:33.2957986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2958074Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2958350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2958431Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2958678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2958763Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2959023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2959131Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2959401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2959533Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2959801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.2959883Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.2959886Z 
2025-08-14T22:18:33.2960003Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2960236Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2960329Z     return mod(**inputs)
2025-08-14T22:18:33.2960598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2960698Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2960971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2961045Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2961299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2961392Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2961669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2961770Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2962380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2962510Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2962772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.2962860Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.2962864Z 
2025-08-14T22:18:33.2962983Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2963214Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2963287Z     return mod(**inputs)
2025-08-14T22:18:33.2963564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2963645Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2963902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2963990Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2964231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2964327Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2964597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2964693Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2964968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2965093Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2965430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.2965527Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.2965531Z 
2025-08-14T22:18:33.2965642Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2965856Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2965930Z     return mod(**inputs)
2025-08-14T22:18:33.2966195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2966287Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2966548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2966633Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2966876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2966963Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2967265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2967393Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2967662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2967798Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2968068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.2968159Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.2968164Z 
2025-08-14T22:18:33.2968274Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2968494Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2968574Z     return mod(**inputs)
2025-08-14T22:18:33.2968847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2968930Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2969194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2969273Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2969520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2969605Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2969856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2969954Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2970201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2970369Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2970635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.2970720Z     key_states = self.k(current_states)
2025-08-14T22:18:33.2970724Z 
2025-08-14T22:18:33.2970844Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2971058Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2971129Z     return mod(**inputs)
2025-08-14T22:18:33.2971391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2971471Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2971733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2971808Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2972072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2972173Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2972425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2972513Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2972773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2972860Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2973119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.2973203Z     value_states = self.v(current_states)
2025-08-14T22:18:33.2973206Z 
2025-08-14T22:18:33.2973294Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2973389Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2973501Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2973742Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2973835Z     return mod(**inputs)
2025-08-14T22:18:33.2974093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2974198Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2974454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2974532Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2974782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2974866Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2975130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2975217Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2975475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2975570Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2975825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.2975908Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.2975919Z 
2025-08-14T22:18:33.2976027Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2976239Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2976315Z     return mod(**inputs)
2025-08-14T22:18:33.2976573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2976655Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2976920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2977000Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2977249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2977334Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2977587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2977689Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2977942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2978068Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2978351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.2978439Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.2978442Z 
2025-08-14T22:18:33.2978562Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2978773Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2978845Z     return mod(**inputs)
2025-08-14T22:18:33.2979106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2979183Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2979438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2979523Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2979763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2979856Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2980113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2980267Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2980528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2980672Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2980930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.2981013Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.2981016Z 
2025-08-14T22:18:33.2981127Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2981341Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2981416Z     return mod(**inputs)
2025-08-14T22:18:33.2981675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2981761Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2982019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2982105Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2982345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2982429Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2982691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.2982785Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.2983048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.2983173Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.2983428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.2983519Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.2983523Z 
2025-08-14T22:18:33.2983634Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2983847Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2983925Z     return mod(**inputs)
2025-08-14T22:18:33.2984182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2984268Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2984526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2984603Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2984873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2984963Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2985214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2985310Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2985558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2985653Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2985904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.2985987Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.2985991Z 
2025-08-14T22:18:33.2986109Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2986321Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2986420Z     return mod(**inputs)
2025-08-14T22:18:33.2986698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2986779Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2987060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2987136Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2987373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2987469Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2987719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2987812Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2988061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2988150Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2988405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.2988490Z     key_states = self.k(current_states)
2025-08-14T22:18:33.2988494Z 
2025-08-14T22:18:33.2988612Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2988825Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2988897Z     return mod(**inputs)
2025-08-14T22:18:33.2989157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.2989235Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.2989485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2989572Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2989808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2989900Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2990151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2990238Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2990503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2990590Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2990837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.2990925Z     value_states = self.v(current_states)
2025-08-14T22:18:33.2990929Z 
2025-08-14T22:18:33.2991036Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2991133Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2991244Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2991457Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2991538Z     return mod(**inputs)
2025-08-14T22:18:33.2991791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.2991870Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.2992132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2992209Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2992454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2992540Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2992791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2992937Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2993190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2993297Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2993553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.2993635Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.2993640Z 
2025-08-14T22:18:33.2993757Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2993968Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2994039Z     return mod(**inputs)
2025-08-14T22:18:33.2994304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.2994382Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.2994646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2994725Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2994962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2995054Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2995358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2995459Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2995819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2995947Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2996223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.2996307Z     key_states = self.k(current_states)
2025-08-14T22:18:33.2996311Z 
2025-08-14T22:18:33.2996424Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2996651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.2996723Z     return mod(**inputs)
2025-08-14T22:18:33.2996991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.2997069Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.2997329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.2997413Z     layer_outputs = layer_module(
2025-08-14T22:18:33.2997685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.2997775Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.2998037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.2998125Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.2998387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.2998475Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.2998725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.2998818Z     value_states = self.v(current_states)
2025-08-14T22:18:33.2998822Z 
2025-08-14T22:18:33.2998908Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2998993Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.2999573Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.2999785Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3000776Z     return mod(**inputs)
2025-08-14T22:18:33.3001072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3001172Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3001437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3001515Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3001763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3001848Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3002120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3002217Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3002471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3002587Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3002867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3002952Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3002956Z 
2025-08-14T22:18:33.3003073Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3003284Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3003354Z     return mod(**inputs)
2025-08-14T22:18:33.3003622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3003701Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3003964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3004050Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3004294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3004389Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3004659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3004747Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3005005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3005095Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3005369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3005473Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3005479Z 
2025-08-14T22:18:33.3005590Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3005809Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3005880Z     return mod(**inputs)
2025-08-14T22:18:33.3006133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.3006223Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.3006491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3006578Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3006813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3006896Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3007168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3007276Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3007555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3007669Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3007935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3008026Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3008030Z 
2025-08-14T22:18:33.3008138Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3008363Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3008441Z     return mod(**inputs)
2025-08-14T22:18:33.3008699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.3008785Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.3009043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3009119Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3009369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3009453Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3009704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3009799Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3010050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:18:33.3010197Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:18:33.3010201Z 
2025-08-14T22:18:33.3010399Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3010617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3010696Z     return mod(**inputs)
2025-08-14T22:18:33.3010952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.3011040Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.3011293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3011369Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3011615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3011697Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3011973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3012084Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3012339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3012475Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3012727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.3012811Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.3012815Z 
2025-08-14T22:18:33.3012933Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3013142Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3013213Z     return mod(**inputs)
2025-08-14T22:18:33.3013478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.3013560Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.3013843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3013939Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3014180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3014293Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3014544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3014650Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3014904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3015029Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3015289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.3015377Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.3015381Z 
2025-08-14T22:18:33.3015491Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3015711Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3015786Z     return mod(**inputs)
2025-08-14T22:18:33.3016047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:18:33.3016127Z     encoder_outputs = self.encoder(
2025-08-14T22:18:33.3016377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3016465Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3016701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3016788Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3017048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3017144Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3017404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3017529Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3017779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.3017872Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.3017875Z 
2025-08-14T22:18:33.3017984Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3018200Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3018293Z     return mod(**inputs)
2025-08-14T22:18:33.3018549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3018639Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3018893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3018973Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3019221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3019306Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3019565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3019653Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3019907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3020008Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3020304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3020397Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3020401Z 
2025-08-14T22:18:33.3020531Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3020753Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3020833Z     return mod(**inputs)
2025-08-14T22:18:33.3021096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3021175Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3021441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3021517Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3021769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3021855Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3022109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3022203Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3022472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3022562Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3022842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3022926Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3022930Z 
2025-08-14T22:18:33.3023022Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3023110Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3023220Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3023443Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3023515Z     return mod(**inputs)
2025-08-14T22:18:33.3023784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3023871Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3024143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3024229Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3024464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3024547Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3024827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3024916Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3025187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3025275Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3025527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3025617Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3025621Z 
2025-08-14T22:18:33.3025729Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3025951Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3026030Z     return mod(**inputs)
2025-08-14T22:18:33.3026292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3026378Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3026665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3026760Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3027005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3027108Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3027375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3027479Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3027750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3027884Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3028157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.3028242Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.3028246Z 
2025-08-14T22:18:33.3028366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3028579Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3028659Z     return mod(**inputs)
2025-08-14T22:18:33.3028922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3029000Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3029263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3029340Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3029585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3029678Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3029929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3030032Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3030284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3030410Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3030670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.3030757Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.3030761Z 
2025-08-14T22:18:33.3030879Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3031093Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3031193Z     return mod(**inputs)
2025-08-14T22:18:33.3031458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3031541Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3031796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3031883Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3032122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3032213Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3032460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3032555Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3032813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3032936Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3033228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.3033323Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.3033344Z 
2025-08-14T22:18:33.3033454Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3033670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3033740Z     return mod(**inputs)
2025-08-14T22:18:33.3033994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3034081Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3034334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3034422Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3034659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3034747Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3035007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3035097Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3035347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3035446Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3035697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3035787Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3035791Z 
2025-08-14T22:18:33.3035898Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3036111Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3036192Z     return mod(**inputs)
2025-08-14T22:18:33.3036448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3036529Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3036790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3036866Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3037110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3037193Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3037443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3037562Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3037815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3037914Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3038164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3038249Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3038253Z 
2025-08-14T22:18:33.3038373Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3038583Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3038655Z     return mod(**inputs)
2025-08-14T22:18:33.3038920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3038999Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3039261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3039356Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3039617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3039713Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3039981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3040067Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3040321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3040406Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3040661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3040743Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3040749Z 
2025-08-14T22:18:33.3040837Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3040928Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3041039Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3041256Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3041328Z     return mod(**inputs)
2025-08-14T22:18:33.3041580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3041666Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3041918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3041995Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3042238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3042324Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3042584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3042670Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3042915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3043011Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3043257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3043337Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3043350Z 
2025-08-14T22:18:33.3043457Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3043665Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3043744Z     return mod(**inputs)
2025-08-14T22:18:33.3044029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3044116Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3044384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3044461Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3044707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3044793Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3045044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3045138Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3045390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3045481Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3045763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3045866Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3045871Z 
2025-08-14T22:18:33.3045991Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3046236Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3046307Z     return mod(**inputs)
2025-08-14T22:18:33.3046573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3046651Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3046906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3046993Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3047233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3047326Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3047578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3047667Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3047927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3048016Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3048274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3048357Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3048361Z 
2025-08-14T22:18:33.3048472Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3048691Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3048763Z     return mod(**inputs)
2025-08-14T22:18:33.3049021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3049109Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3049365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3049448Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3049686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3049768Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3050030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3050115Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3050491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3050602Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3050856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3050952Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3050956Z 
2025-08-14T22:18:33.3051042Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3051128Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3051246Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3051454Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3051528Z     return mod(**inputs)
2025-08-14T22:18:33.3051792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3051874Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3052137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3052252Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3052492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3052604Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3052860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3052952Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3053211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3053299Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3053562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3053646Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3053651Z 
2025-08-14T22:18:33.3053760Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3053986Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3054060Z     return mod(**inputs)
2025-08-14T22:18:33.3054327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3054408Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3054667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3054752Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3054996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3055079Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3055344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3055442Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3055706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3055833Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3056085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.3056179Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.3056183Z 
2025-08-14T22:18:33.3056290Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3056507Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3056577Z     return mod(**inputs)
2025-08-14T22:18:33.3056853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3056942Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3057199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3057278Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3057529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3057612Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3057881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3057977Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3058235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3058369Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3058663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.3058790Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.3058795Z 
2025-08-14T22:18:33.3058912Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3059154Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3059254Z     return mod(**inputs)
2025-08-14T22:18:33.3059521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3059607Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3059883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3059965Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3060224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3060316Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3060592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3060722Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3061002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3061132Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3061415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.3061499Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.3061503Z 
2025-08-14T22:18:33.3061620Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3061838Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3061911Z     return mod(**inputs)
2025-08-14T22:18:33.3062391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3062495Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3062790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3062878Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3063122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3063235Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3063515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3063603Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3063980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3064077Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3064361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3064450Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3064455Z 
2025-08-14T22:18:33.3064566Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3064789Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3064874Z     return mod(**inputs)
2025-08-14T22:18:33.3065140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3065225Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3065499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3065621Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3065895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3065982Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3066297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3066383Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3066643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3066732Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3066997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3067086Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3067090Z 
2025-08-14T22:18:33.3067200Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3067414Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3067495Z     return mod(**inputs)
2025-08-14T22:18:33.3067749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3067839Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3068103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3068180Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3068427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3068510Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3068773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3068866Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3069122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3069218Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3069469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3069552Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3069555Z 
2025-08-14T22:18:33.3069648Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3069734Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3069850Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3070074Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3070144Z     return mod(**inputs)
2025-08-14T22:18:33.3070439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3070520Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3070777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3070864Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3071102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3071193Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3071443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3071527Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3071782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3071870Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3072118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3072245Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3072249Z 
2025-08-14T22:18:33.3072359Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3072593Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3072664Z     return mod(**inputs)
2025-08-14T22:18:33.3072919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3073006Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3073257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3073341Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3073579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3073666Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3073927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3074013Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3074262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:18:33.3074414Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:18:33.3074418Z 
2025-08-14T22:18:33.3074528Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3074746Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3074817Z     return mod(**inputs)
2025-08-14T22:18:33.3075073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3075161Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3075417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3075494Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3075740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3075826Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3076085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3076173Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3076422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3076523Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3076795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3076892Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3076896Z 
2025-08-14T22:18:33.3077010Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3077223Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3077304Z     return mod(**inputs)
2025-08-14T22:18:33.3077562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3077640Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3077907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3077983Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3078230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3078316Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3078608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3078706Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3078958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3079066Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3079325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3079408Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3079412Z 
2025-08-14T22:18:33.3079528Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3079743Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3079813Z     return mod(**inputs)
2025-08-14T22:18:33.3080078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3080161Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3080424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3080505Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3080745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3080835Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3081087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3081172Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3081431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3081524Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3081787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3081871Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3081875Z 
2025-08-14T22:18:33.3081963Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3082058Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3082168Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3082379Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3082457Z     return mod(**inputs)
2025-08-14T22:18:33.3082713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3082800Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3083078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3083160Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3083411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3083493Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3083753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3083840Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3084091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3084185Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3084438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3084521Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3084527Z 
2025-08-14T22:18:33.3084646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3084957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3085039Z     return mod(**inputs)
2025-08-14T22:18:33.3085298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3085396Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3085659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3085735Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3085971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3086062Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3086317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3086423Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3086676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3086801Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3087065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.3087151Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.3087154Z 
2025-08-14T22:18:33.3087271Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3087481Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3087552Z     return mod(**inputs)
2025-08-14T22:18:33.3087818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3087899Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3088160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3088247Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3088487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3088580Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3088834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3088931Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3089192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3089316Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3089591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.3089688Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.3089692Z 
2025-08-14T22:18:33.3089804Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3090025Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3090096Z     return mod(**inputs)
2025-08-14T22:18:33.3090670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3090762Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3091021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3091107Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3091345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3091432Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3091757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3091856Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3092110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3092266Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3092518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.3092611Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.3092615Z 
2025-08-14T22:18:33.3092726Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3092936Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3093018Z     return mod(**inputs)
2025-08-14T22:18:33.3093274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3093364Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3093618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3093697Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3093943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3094028Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3094278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3094372Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3094624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3094719Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3094972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3095056Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3095062Z 
2025-08-14T22:18:33.3095178Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3095390Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3095460Z     return mod(**inputs)
2025-08-14T22:18:33.3095724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3095802Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3096062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3096141Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3096402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3096500Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3096751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3096846Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3097095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3097182Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3097436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3097518Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3097522Z 
2025-08-14T22:18:33.3097632Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3097852Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3097945Z     return mod(**inputs)
2025-08-14T22:18:33.3098228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3098309Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3098580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3098665Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3098904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3098989Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3099247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3099333Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3099590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3099682Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3099930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3100025Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3100028Z 
2025-08-14T22:18:33.3100116Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3100210Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3100321Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3100530Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3100607Z     return mod(**inputs)
2025-08-14T22:18:33.3100862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3100942Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3101207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3101285Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3101531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3101618Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3101866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3101958Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3102224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3102310Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3102621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3102710Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3102714Z 
2025-08-14T22:18:33.3102849Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3103069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3103151Z     return mod(**inputs)
2025-08-14T22:18:33.3103432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3103519Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3103779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3103878Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3104120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3104215Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3104532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3104645Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3104927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3105041Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3105320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3105411Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3105415Z 
2025-08-14T22:18:33.3105535Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3105765Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3105842Z     return mod(**inputs)
2025-08-14T22:18:33.3106122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3106236Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3106524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3106612Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3106852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3106934Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3107193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3107279Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3107544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3107643Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3107895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3107987Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3107991Z 
2025-08-14T22:18:33.3108102Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3108313Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3108392Z     return mod(**inputs)
2025-08-14T22:18:33.3108657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3108743Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3109007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3109085Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3109353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3109439Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3109708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3109806Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3110058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3110154Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3110402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3110485Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3110489Z 
2025-08-14T22:18:33.3110584Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3110667Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3110777Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3111018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3111107Z     return mod(**inputs)
2025-08-14T22:18:33.3111371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3111469Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3111722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3111808Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3112046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3112137Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3112391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3112477Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3112739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3112828Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3113076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3113168Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3113172Z 
2025-08-14T22:18:33.3113281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3113501Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3113572Z     return mod(**inputs)
2025-08-14T22:18:33.3113829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3113916Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3114173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3114253Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3114500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3114584Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3114844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3114929Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3115178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 647, in forward
2025-08-14T22:18:33.3115328Z     layer_output = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:18:33.3115332Z 
2025-08-14T22:18:33.3115442Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3115679Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3115752Z     return mod(**inputs)
2025-08-14T22:18:33.3116011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3116098Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3116350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3116428Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3116677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3116759Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3117018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3117115Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3117370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3117551Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3117803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.3117905Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.3117916Z 
2025-08-14T22:18:33.3118024Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3118236Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3118315Z     return mod(**inputs)
2025-08-14T22:18:33.3118568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3118646Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3118908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3118987Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3119234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3119320Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3119570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3119673Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3119921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3120046Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3120302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.3120388Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.3120394Z 
2025-08-14T22:18:33.3120509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3120723Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3120791Z     return mod(**inputs)
2025-08-14T22:18:33.3121056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3121134Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3121396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3121474Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3121711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3121802Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3122077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3122175Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3122430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3122549Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3122808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.3122891Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.3122895Z 
2025-08-14T22:18:33.3123005Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3123226Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3123296Z     return mod(**inputs)
2025-08-14T22:18:33.3123562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3123669Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3123950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3124037Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3124297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3124382Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3124669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3124764Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3125020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3125109Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3125378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3125471Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3125476Z 
2025-08-14T22:18:33.3125588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3125804Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3125884Z     return mod(**inputs)
2025-08-14T22:18:33.3126156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3126242Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3126517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3126594Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3126856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3126938Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3127193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3127287Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3127543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3127639Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3127890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3127971Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3127975Z 
2025-08-14T22:18:33.3128092Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3128305Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3128410Z     return mod(**inputs)
2025-08-14T22:18:33.3128669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3128750Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3129011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3129090Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3129325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3129414Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3129681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3129771Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3130037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3130149Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3130526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3130617Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3130640Z 
2025-08-14T22:18:33.3130738Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3130826Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3130938Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3131160Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3131232Z     return mod(**inputs)
2025-08-14T22:18:33.3131495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3131583Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3131849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3131938Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3132180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3132271Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3132535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3132620Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3132870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3132966Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3133216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3133308Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3133311Z 
2025-08-14T22:18:33.3133424Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3133637Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3133715Z     return mod(**inputs)
2025-08-14T22:18:33.3133979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3134058Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3134324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3134399Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3134647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3134730Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3135007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3135105Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3135357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3135455Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3135707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3135791Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3135795Z 
2025-08-14T22:18:33.3135913Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3136122Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3136192Z     return mod(**inputs)
2025-08-14T22:18:33.3136456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3136535Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3136838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3136917Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3137159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3137269Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3137518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3137606Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3137866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3137955Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3138212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3138297Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3138301Z 
2025-08-14T22:18:33.3138411Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3138628Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3138702Z     return mod(**inputs)
2025-08-14T22:18:33.3138961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3139041Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3139293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3139377Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3139613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3139696Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3139955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3140042Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3140298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3140388Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3140631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3140720Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3140724Z 
2025-08-14T22:18:33.3140809Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3140894Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3141013Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3141271Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3141365Z     return mod(**inputs)
2025-08-14T22:18:33.3141625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3141705Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3141966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3142041Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3142278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3142368Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3142617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3142710Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3142960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3143073Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3143354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3143460Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3143464Z 
2025-08-14T22:18:33.3143581Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3143794Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3143864Z     return mod(**inputs)
2025-08-14T22:18:33.3144129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3144208Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3144467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3144554Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3144796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3144886Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3145141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3145238Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3145500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3145627Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3145888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.3145975Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.3145981Z 
2025-08-14T22:18:33.3146092Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3146315Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3146387Z     return mod(**inputs)
2025-08-14T22:18:33.3146646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3146736Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3146995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3147079Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3147321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3147403Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3147686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3147787Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3148044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3148175Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3148426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.3148519Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.3148522Z 
2025-08-14T22:18:33.3148632Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3148842Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3148921Z     return mod(**inputs)
2025-08-14T22:18:33.3149179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3149266Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3149558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3149637Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3149883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3150028Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3150277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3150382Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3150635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3150765Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3151020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.3151107Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.3151111Z 
2025-08-14T22:18:33.3151230Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3151444Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3151525Z     return mod(**inputs)
2025-08-14T22:18:33.3151783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3151862Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3152122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3152197Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3152437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3152524Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3152779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3152877Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3153135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 343, in forward
2025-08-14T22:18:33.3153271Z     hidden_states = hidden_states + self.dropout(forwarded_states)
2025-08-14T22:18:33.3153275Z 
2025-08-14T22:18:33.3153388Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3153598Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3153666Z     return mod(**inputs)
2025-08-14T22:18:33.3153929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3154023Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3154283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3154359Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3154594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3154683Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3154931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3155020Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3155269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3155354Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3155607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3155710Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3155714Z 
2025-08-14T22:18:33.3155839Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3156057Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3156142Z     return mod(**inputs)
2025-08-14T22:18:33.3156401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3156478Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3156737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3156816Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3157053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3157135Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3157391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3157477Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3157732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3157819Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3158069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3158153Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3158156Z 
2025-08-14T22:18:33.3158264Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3158476Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3158544Z     return mod(**inputs)
2025-08-14T22:18:33.3158798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3158881Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3159137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3159215Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3159464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3159548Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3159814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3159900Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3160187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3160335Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3160590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3160679Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3160690Z 
2025-08-14T22:18:33.3160778Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3160863Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3160983Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3161189Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3161261Z     return mod(**inputs)
2025-08-14T22:18:33.3161526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3161604Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3161859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3161944Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3162725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3162824Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3163094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3163216Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3163488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3163574Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3163850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3163940Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3163943Z 
2025-08-14T22:18:33.3164066Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3164307Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3164392Z     return mod(**inputs)
2025-08-14T22:18:33.3164650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3164741Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3165004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3165091Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3165332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3165418Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3165692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3165782Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3166036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3166136Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3166389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3166482Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3166486Z 
2025-08-14T22:18:33.3166597Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3166817Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3166895Z     return mod(**inputs)
2025-08-14T22:18:33.3167165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3167253Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3167556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3167636Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3167882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3167967Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3168235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3168329Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3168597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3168694Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3168963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3169047Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3169084Z 
2025-08-14T22:18:33.3169207Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3169450Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3169531Z     return mod(**inputs)
2025-08-14T22:18:33.3169808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3169888Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3170160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3170237Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3170550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3170648Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3170920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3171015Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3171288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3171381Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3171653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3171746Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3171754Z 
2025-08-14T22:18:33.3171840Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3171936Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3172049Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3172280Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3172352Z     return mod(**inputs)
2025-08-14T22:18:33.3172616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3172705Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3172963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3173044Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3173295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3173381Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3173643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3173730Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3174012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3174113Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3174364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3174453Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3174458Z 
2025-08-14T22:18:33.3174568Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3174777Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3174855Z     return mod(**inputs)
2025-08-14T22:18:33.3175108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3175187Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3175446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3175525Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3175770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3175894Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3176150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3176273Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3176530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3176658Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3176921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.3177008Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.3177011Z 
2025-08-14T22:18:33.3177130Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3177342Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3177413Z     return mod(**inputs)
2025-08-14T22:18:33.3177682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3177763Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3178031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3178108Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3178352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3178442Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3178698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3178792Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3179057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3179182Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3179442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.3179529Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.3179533Z 
2025-08-14T22:18:33.3179641Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3179861Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3179930Z     return mod(**inputs)
2025-08-14T22:18:33.3180190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3180270Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3180550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3180638Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3180879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3180962Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3181226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3181321Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3181576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3181698Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3181950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.3182044Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.3182068Z 
2025-08-14T22:18:33.3182178Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3182409Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3182532Z     return mod(**inputs)
2025-08-14T22:18:33.3182791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3182874Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3183129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3183206Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3183452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3183535Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3183797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3183886Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3184136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3184235Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3184484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3184568Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3184572Z 
2025-08-14T22:18:33.3184691Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3184901Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3184979Z     return mod(**inputs)
2025-08-14T22:18:33.3185237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3185317Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3185584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3185662Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3185904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3185998Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3186250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3186347Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3186596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3186685Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3186966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3187053Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3187059Z 
2025-08-14T22:18:33.3187177Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3187391Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3187463Z     return mod(**inputs)
2025-08-14T22:18:33.3187727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3187805Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3188061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3188145Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3188388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3188507Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3188786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3188876Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3189171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3189260Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3189510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3189599Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3189603Z 
2025-08-14T22:18:33.3189689Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3189782Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3189891Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3190103Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3190184Z     return mod(**inputs)
2025-08-14T22:18:33.3190441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3190522Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3190783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3190861Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3191105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3191188Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3191440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3191536Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3191785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3191884Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3192134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3192220Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3192224Z 
2025-08-14T22:18:33.3192343Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3192556Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3192627Z     return mod(**inputs)
2025-08-14T22:18:33.3192892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3192971Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3193255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3193335Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3193574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3193667Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3193919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3194003Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3194257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:18:33.3194398Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:18:33.3194402Z 
2025-08-14T22:18:33.3194516Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3194722Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3194810Z     return mod(**inputs)
2025-08-14T22:18:33.3195093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3195175Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3195451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3195529Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3195765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3195858Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3196110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3196196Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3196455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3196545Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3196802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3196886Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3196890Z 
2025-08-14T22:18:33.3196999Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3197218Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3197288Z     return mod(**inputs)
2025-08-14T22:18:33.3197546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3197626Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3197881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3197965Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3198206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3198288Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3198552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3198640Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3198911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3198999Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3199251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3199343Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3199347Z 
2025-08-14T22:18:33.3199479Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3199693Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3199776Z     return mod(**inputs)
2025-08-14T22:18:33.3200033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3200122Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3200376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3200457Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3200708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3200794Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3201056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3201146Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3201437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3201536Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3201788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3201893Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3201897Z 
2025-08-14T22:18:33.3201991Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3202076Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3202195Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3202410Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3202480Z     return mod(**inputs)
2025-08-14T22:18:33.3202752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3202836Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3203097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3203183Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3203428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3203515Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3203783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3203869Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3204133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3204221Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3204489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3204582Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3204586Z 
2025-08-14T22:18:33.3204697Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3204919Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3204988Z     return mod(**inputs)
2025-08-14T22:18:33.3205255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3205340Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3205608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3205694Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3205960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3206047Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3206324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3206420Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3206676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3206807Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3207076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.3207167Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.3207171Z 
2025-08-14T22:18:33.3207281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3207507Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3207585Z     return mod(**inputs)
2025-08-14T22:18:33.3207890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3207981Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3208247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3208346Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3208594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3208677Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3208947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3209052Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3209323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3209459Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3209711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.3209799Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.3209803Z 
2025-08-14T22:18:33.3209919Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3210130Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3210199Z     return mod(**inputs)
2025-08-14T22:18:33.3210557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3210637Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3210902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3210977Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3211214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3211301Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3211569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3211667Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3211934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3212054Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3212318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.3212401Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.3212405Z 
2025-08-14T22:18:33.3212535Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3212754Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3212823Z     return mod(**inputs)
2025-08-14T22:18:33.3213079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3213156Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3213406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3213486Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3213720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3213800Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3214053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3214137Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3214435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3214522Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3214790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3214876Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3214880Z 
2025-08-14T22:18:33.3214991Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3215205Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3215275Z     return mod(**inputs)
2025-08-14T22:18:33.3215529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3215613Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3215866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3215943Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3216186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3216274Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3216541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3216624Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3216875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3216965Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3217216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3217309Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3217315Z 
2025-08-14T22:18:33.3217429Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3217647Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3217729Z     return mod(**inputs)
2025-08-14T22:18:33.3217987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3218067Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3218330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3218403Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3218650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3218736Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3219019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3219117Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3219370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3219458Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3219717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3219800Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3219804Z 
2025-08-14T22:18:33.3219897Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3219980Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3220091Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3220312Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3220383Z     return mod(**inputs)
2025-08-14T22:18:33.3220678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3220765Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3221020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3221121Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3221363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3221447Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3221728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3221820Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3222094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3222184Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3222435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3222526Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3222531Z 
2025-08-14T22:18:33.3222642Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3222855Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3222935Z     return mod(**inputs)
2025-08-14T22:18:33.3223190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3223275Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3223529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3223609Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3223859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3223945Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3224194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3224291Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3224540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3224637Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3224887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3224971Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3224975Z 
2025-08-14T22:18:33.3225121Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3225336Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3225416Z     return mod(**inputs)
2025-08-14T22:18:33.3225673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3225754Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3226012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3226088Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3226324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3226414Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3226666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3226760Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3227041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3227151Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3227413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3227517Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3227521Z 
2025-08-14T22:18:33.3227637Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3227849Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3227918Z     return mod(**inputs)
2025-08-14T22:18:33.3228182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3228260Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3228515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3228600Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3228842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3228933Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3229184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3229270Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3229528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3229615Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3229866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3229961Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3229966Z 
2025-08-14T22:18:33.3230053Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3230150Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3230264Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3230475Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3230556Z     return mod(**inputs)
2025-08-14T22:18:33.3230816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3230896Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3231159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3231237Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3231515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3231601Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3231854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3231950Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3232202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3232290Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3232547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3232630Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3232633Z 
2025-08-14T22:18:33.3232753Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3232963Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3233037Z     return mod(**inputs)
2025-08-14T22:18:33.3233299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3233423Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3233686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3233784Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3234025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3234119Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3234373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3234461Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3234723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 647, in forward
2025-08-14T22:18:33.3234864Z     layer_output = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:18:33.3234870Z 
2025-08-14T22:18:33.3234989Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3235202Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3235273Z     return mod(**inputs)
2025-08-14T22:18:33.3235538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3235616Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3235881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3235961Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3236200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3236292Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3236545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3236641Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3236904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3237033Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3237292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.3237378Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.3237382Z 
2025-08-14T22:18:33.3237494Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3237712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3237802Z     return mod(**inputs)
2025-08-14T22:18:33.3238096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3238187Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3238438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3238526Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3238778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3238861Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3239120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3239216Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3239472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3239614Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3239920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.3240016Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.3240020Z 
2025-08-14T22:18:33.3240152Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3240369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3240457Z     return mod(**inputs)
2025-08-14T22:18:33.3240716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3240799Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3241056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3241134Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3241387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3241470Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3241733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3241832Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3242086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3242215Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3242471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.3242555Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.3242559Z 
2025-08-14T22:18:33.3242677Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3242891Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3242971Z     return mod(**inputs)
2025-08-14T22:18:33.3243233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3243312Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3243580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3243656Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3243898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3243990Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3244246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3244339Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3244621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3244715Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3244978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3245062Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3245066Z 
2025-08-14T22:18:33.3245183Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3245399Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3245469Z     return mod(**inputs)
2025-08-14T22:18:33.3245747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3245826Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3246097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3246206Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3246470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3246566Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3246844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3246932Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3247193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3247282Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3247531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3247623Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3247629Z 
2025-08-14T22:18:33.3247739Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3247962Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3248033Z     return mod(**inputs)
2025-08-14T22:18:33.3248301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3248390Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3248662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3248747Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3248986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3249072Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3249342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3249431Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3249702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3249801Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3250054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3250145Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3250149Z 
2025-08-14T22:18:33.3250234Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3250423Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3250553Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3250782Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3250857Z     return mod(**inputs)
2025-08-14T22:18:33.3251186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3251271Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3251551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3251631Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3251874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3251972Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3252243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3252329Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3252604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3252692Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3252983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3253083Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3253088Z 
2025-08-14T22:18:33.3253201Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3253439Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3253512Z     return mod(**inputs)
2025-08-14T22:18:33.3253786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3253865Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3254133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3254218Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3254466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3254553Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3254814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3254902Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3255161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3255251Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3255500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3255591Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3255594Z 
2025-08-14T22:18:33.3255700Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3255923Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3255995Z     return mod(**inputs)
2025-08-14T22:18:33.3256254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3256342Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3256604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3256684Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3256930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3257011Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3257270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3257353Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3257626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3257725Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3257976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3258060Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3258071Z 
2025-08-14T22:18:33.3258180Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3258391Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3258468Z     return mod(**inputs)
2025-08-14T22:18:33.3258722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3258801Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3259064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3259139Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3259421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3259506Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3259758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3259909Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3260158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3260246Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3260500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3260582Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3260586Z 
2025-08-14T22:18:33.3260678Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3260762Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3260870Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3261092Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3261166Z     return mod(**inputs)
2025-08-14T22:18:33.3261421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3261509Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3261762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3261847Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3262362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3262450Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3262712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3262802Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3263055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3263158Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3263407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3263496Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3263501Z 
2025-08-14T22:18:33.3263609Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3263818Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3263896Z     return mod(**inputs)
2025-08-14T22:18:33.3264226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3264315Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3264577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3264655Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3264907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3264988Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3265245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3265350Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3265604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3265736Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3265994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.3266138Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.3266143Z 
2025-08-14T22:18:33.3266263Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3266501Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3266582Z     return mod(**inputs)
2025-08-14T22:18:33.3266837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3266916Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3267175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3267250Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3267489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3267578Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3267827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3267926Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3268176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3268299Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3268550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.3268632Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.3268636Z 
2025-08-14T22:18:33.3268743Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3268957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3269025Z     return mod(**inputs)
2025-08-14T22:18:33.3269281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3269357Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3269609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3269687Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3269923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3270008Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3270257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3270351Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3270623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3270747Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3270996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.3271086Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.3271090Z 
2025-08-14T22:18:33.3271196Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3271406Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3271474Z     return mod(**inputs)
2025-08-14T22:18:33.3271726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3271807Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3272057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3272153Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3272408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3272491Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3272760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3272853Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3273100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 343, in forward
2025-08-14T22:18:33.3273240Z     hidden_states = hidden_states + self.dropout(forwarded_states)
2025-08-14T22:18:33.3273245Z 
2025-08-14T22:18:33.3273351Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3273565Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3273635Z     return mod(**inputs)
2025-08-14T22:18:33.3273887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3273970Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3274226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3274300Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3274540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3274621Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3274878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3274964Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3275214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3275311Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3275566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3275666Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3275673Z 
2025-08-14T22:18:33.3275791Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3275997Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3276075Z     return mod(**inputs)
2025-08-14T22:18:33.3276328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3276407Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3276669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3276773Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3277024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3277110Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3277360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3277457Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3277707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3277796Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3278053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3278134Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3278137Z 
2025-08-14T22:18:33.3278256Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3278468Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3278564Z     return mod(**inputs)
2025-08-14T22:18:33.3278854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3278953Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3279215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3279294Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3279531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3279625Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3279876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3279965Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3280227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3280318Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3280578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3280661Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3280665Z 
2025-08-14T22:18:33.3280751Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3280845Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3280956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3281165Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3281245Z     return mod(**inputs)
2025-08-14T22:18:33.3281502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3281590Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3281847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3281924Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3282168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3282254Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3282504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3282598Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3282848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3282944Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3283223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3283308Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3283312Z 
2025-08-14T22:18:33.3283433Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3283645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3283726Z     return mod(**inputs)
2025-08-14T22:18:33.3283982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3284061Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3284328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3284405Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3284647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3284742Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3285063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3285158Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3285424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3285537Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3285811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3285895Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3285899Z 
2025-08-14T22:18:33.3286016Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3286237Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3286308Z     return mod(**inputs)
2025-08-14T22:18:33.3286585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3286667Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3286922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3287006Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3287254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3287343Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3287614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3287699Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3287971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3288062Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3288318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3288408Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3288412Z 
2025-08-14T22:18:33.3288524Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3288749Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3288820Z     return mod(**inputs)
2025-08-14T22:18:33.3289096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3289183Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3289454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3289531Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3289813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3289899Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3290174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3290333Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3290610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3290707Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3290971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3291062Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3291066Z 
2025-08-14T22:18:33.3291151Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3291236Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3291357Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3291627Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3291701Z     return mod(**inputs)
2025-08-14T22:18:33.3291974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3292077Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3292352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3292431Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3292680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3292772Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3293044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3293133Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3293412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3293502Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3293762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3293845Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3293849Z 
2025-08-14T22:18:33.3293960Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3294178Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3294247Z     return mod(**inputs)
2025-08-14T22:18:33.3294524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3294605Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3294857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3294944Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3295183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3295268Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3295527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3295623Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3295884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3296009Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3296285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.3296384Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.3296388Z 
2025-08-14T22:18:33.3296499Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3296713Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3296793Z     return mod(**inputs)
2025-08-14T22:18:33.3297055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3297141Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3297396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3297473Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3297720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3297809Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3298089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3298207Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3298461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3298620Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3298872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.3298958Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.3298962Z 
2025-08-14T22:18:33.3299078Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3299290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3299370Z     return mod(**inputs)
2025-08-14T22:18:33.3299627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3299710Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3299972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3300050Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3300287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3300380Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3300631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3300735Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3300987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3301113Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3301375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.3301461Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.3301465Z 
2025-08-14T22:18:33.3301584Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3301796Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3301867Z     return mod(**inputs)
2025-08-14T22:18:33.3302129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3302208Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3302460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3302547Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3302830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3302927Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3303176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3303263Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3303517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3303606Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3303862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3303945Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3303948Z 
2025-08-14T22:18:33.3304056Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3304273Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3304368Z     return mod(**inputs)
2025-08-14T22:18:33.3304646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3304735Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3305011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3305094Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3305330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3305414Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3305672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3305757Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3306007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3306104Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3306354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3306447Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3306451Z 
2025-08-14T22:18:33.3306561Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3306775Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3306855Z     return mod(**inputs)
2025-08-14T22:18:33.3307113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3307199Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3307453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3307532Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3307777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3307860Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3308110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3308204Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3308457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3308553Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3308800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3308882Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3308909Z 
2025-08-14T22:18:33.3309006Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3309096Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3309209Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3309432Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3309505Z     return mod(**inputs)
2025-08-14T22:18:33.3309766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3309845Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3310097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3310181Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3310424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3310509Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3310771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3310910Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3311172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3311283Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3311535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3311625Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3311629Z 
2025-08-14T22:18:33.3311740Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3311959Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3312049Z     return mod(**inputs)
2025-08-14T22:18:33.3312304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3312394Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3312648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3312725Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3312974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3313057Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3313316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3313402Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3313650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:18:33.3313806Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:18:33.3313811Z 
2025-08-14T22:18:33.3313921Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3314141Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3314212Z     return mod(**inputs)
2025-08-14T22:18:33.3314469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3314557Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3314809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3314886Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3315133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3315218Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3315502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3315592Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3315849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3315948Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3316200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3316283Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3316296Z 
2025-08-14T22:18:33.3316407Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3316618Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3316694Z     return mod(**inputs)
2025-08-14T22:18:33.3316950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3317052Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3317329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3317408Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3317673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3317756Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3318007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3318099Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3318349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3318437Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3318695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3318780Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3318783Z 
2025-08-14T22:18:33.3318900Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3319111Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3319182Z     return mod(**inputs)
2025-08-14T22:18:33.3319444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3319521Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3319771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3319855Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3320094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3320182Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3320433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3320519Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3320776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3320863Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3321116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3321200Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3321204Z 
2025-08-14T22:18:33.3321289Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3321380Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3321490Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3321725Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3321808Z     return mod(**inputs)
2025-08-14T22:18:33.3322063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3322150Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3322405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3322481Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3322725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3322807Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3323058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3323152Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3323404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3323541Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3323797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3323902Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3323906Z 
2025-08-14T22:18:33.3324024Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3324238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3324311Z     return mod(**inputs)
2025-08-14T22:18:33.3324579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3324658Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3324927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3325006Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3325250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3325342Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3325600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3325703Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3325959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3326085Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3326347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.3326434Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.3326438Z 
2025-08-14T22:18:33.3326550Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3326786Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3326856Z     return mod(**inputs)
2025-08-14T22:18:33.3327124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3327204Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3327468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3327554Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3327800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3327892Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3328191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3328291Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3328567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3328693Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3328959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.3329054Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.3329057Z 
2025-08-14T22:18:33.3329166Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3329395Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3329466Z     return mod(**inputs)
2025-08-14T22:18:33.3329733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3329844Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3330122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3330201Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3330567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3330658Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3330937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3331035Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3331308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3331441Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3331716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.3331810Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.3331816Z 
2025-08-14T22:18:33.3331927Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3332145Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3332225Z     return mod(**inputs)
2025-08-14T22:18:33.3332493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3332571Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3332842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3332919Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3333173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3333259Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3333534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3333630Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3333886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3333977Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3334260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3334342Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3334346Z 
2025-08-14T22:18:33.3334463Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3334683Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3334794Z     return mod(**inputs)
2025-08-14T22:18:33.3335080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3335160Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3335423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3335502Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3335748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3335839Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3336109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3336195Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3336474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3336586Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3336870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3336954Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3336975Z 
2025-08-14T22:18:33.3337087Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3337307Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3337376Z     return mod(**inputs)
2025-08-14T22:18:33.3337640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3337719Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3337975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3338060Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3338299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3338387Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3338651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3338736Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3338996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3339083Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3339337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3339429Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3339432Z 
2025-08-14T22:18:33.3339518Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3339604Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3339727Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3339940Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3340019Z     return mod(**inputs)
2025-08-14T22:18:33.3340276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3340358Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3340623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3340699Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3340939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3341031Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3341311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:18:33.3341408Z     self_attention_outputs = self.layer[0](
2025-08-14T22:18:33.3341664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:18:33.3341751Z     attention_output = self.SelfAttention(
2025-08-14T22:18:33.3342017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3342098Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3342102Z 
2025-08-14T22:18:33.3342220Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3342438Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3342507Z     return mod(**inputs)
2025-08-14T22:18:33.3342773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3342854Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3343145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3343232Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3343471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3343585Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3343837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3343924Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3344185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3344273Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3344523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:18:33.3344616Z     query_states = self.q(hidden_states)
2025-08-14T22:18:33.3344619Z 
2025-08-14T22:18:33.3344730Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3344950Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3345023Z     return mod(**inputs)
2025-08-14T22:18:33.3345280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3345366Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3345620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3345705Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3345947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3346030Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3346289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3346375Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3346627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3346726Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3346978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:18:33.3347067Z     key_states = self.k(current_states)
2025-08-14T22:18:33.3347071Z 
2025-08-14T22:18:33.3347182Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3347393Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3347472Z     return mod(**inputs)
2025-08-14T22:18:33.3347751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3347834Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3348098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3348175Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3348429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3348515Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3348771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3348872Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3349122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3349218Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3349500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:18:33.3349617Z     value_states = self.v(current_states)
2025-08-14T22:18:33.3349621Z 
2025-08-14T22:18:33.3349723Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3349840Z cudagraph partition due to non gpu ops
2025-08-14T22:18:33.3349953Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3350186Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3350266Z     return mod(**inputs)
2025-08-14T22:18:33.3350558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3350649Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3350927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3351044Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3351286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3351369Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3351629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3351714Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3351973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:18:33.3352062Z     attention_output = self.EncDecAttention(
2025-08-14T22:18:33.3352314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:18:33.3352404Z     attn_output = self.o(attn_output)
2025-08-14T22:18:33.3352408Z 
2025-08-14T22:18:33.3352518Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3352743Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3352817Z     return mod(**inputs)
2025-08-14T22:18:33.3353075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3353165Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3353421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3353498Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3353748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3353830Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3354118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:18:33.3354207Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:18:33.3354459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 647, in forward
2025-08-14T22:18:33.3354609Z     layer_output = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:18:33.3354614Z 
2025-08-14T22:18:33.3354723Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3354932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3355012Z     return mod(**inputs)
2025-08-14T22:18:33.3355266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3355353Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3355604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3355683Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3355954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3356057Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3356317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3356441Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3356694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3356827Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3357083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:18:33.3357167Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:18:33.3357171Z 
2025-08-14T22:18:33.3357291Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3357504Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3357587Z     return mod(**inputs)
2025-08-14T22:18:33.3357846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3357926Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3358188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3358265Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3358504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3358594Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3358848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3358955Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3359209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3359336Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3359598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:18:33.3359686Z     hidden_states = self.act(hidden_states)
2025-08-14T22:18:33.3359690Z 
2025-08-14T22:18:33.3359808Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3360021Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3360092Z     return mod(**inputs)
2025-08-14T22:18:33.3360355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:18:33.3360434Z     decoder_outputs = self.decoder(
2025-08-14T22:18:33.3360716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:18:33.3360805Z     layer_outputs = layer_module(
2025-08-14T22:18:33.3361044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:18:33.3361139Z     return super().__call__(*args, **kwargs)
2025-08-14T22:18:33.3361392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:18:33.3361487Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:18:33.3361748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:18:33.3361870Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:18:33.3362405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:18:33.3362497Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:18:33.3362581Z 
2025-08-14T22:18:33.3362756Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:33.3362976Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:18:33.3363076Z     return mod(**inputs)
2025-08-14T22:18:33.3363337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1791, in forward
2025-08-14T22:18:33.3363440Z     lm_logits = self.lm_head(sequence_output)
2025-08-14T22:18:33.3363444Z 
2025-08-14T22:18:54.1403015Z Compilation time (from dynamo_timed): 65.890033036
2025-08-14T22:18:54.1403427Z pass
2025-08-14T22:18:54.1403746Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:18:54.1405932Z TIMING: _recursive_pre_grad_passes:0.02209 _recursive_joint_graph_passes:2.43588 _recursive_post_grad_passes:0.19728 async_compile.wait:0.6822 code_gen:12.30625 inductor_compile:19.44397 backend_compile:52.73911 gc:0.00125 entire_frame_compile:65.89003 total_wall_time:65.89003
2025-08-14T22:18:54.1407223Z STATS: call_* op count: 1514 | FakeTensorMode.__torch_dispatch__:38630 | FakeTensor.__torch_dispatch__:8684 | attempt fast:30 | fast is_contiguous:24 | slow both tensors nontrivially broadcast:4 | slow no contiguity match:2 | ProxyTorchDispatchMode.__torch_dispatch__:14945
2025-08-14T22:18:54.1408024Z Dynamo produced 1 graphs covering 1514 ops with 0 graph breaks (0 unique)
2025-08-14T22:19:02.1556511Z 
2025-08-14T22:19:02.8628084Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:19:02.8628317Z 
2025-08-14T22:19:02.8674237Z config.json:   0% 0.00/1.21k [00:00<?, ?B/s]
2025-08-14T22:19:02.8674584Z config.json: 100% 1.21k/1.21k [00:00<00:00, 251kB/s]
2025-08-14T22:19:14.4228449Z 
2025-08-14T22:19:14.4233395Z loading model: 0it [00:12, ?it/s]
2025-08-14T22:19:14.4280735Z cpu  eval  hf_T5_large                        
2025-08-14T22:19:14.6563616Z Compilation time (from dynamo_timed): 0
2025-08-14T22:19:14.6563952Z pass_due_to_skip
2025-08-14T22:19:14.6573896Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:19:14.6574467Z TIMING: total_wall_time:0
2025-08-14T22:19:14.6575032Z STATS: call_* op count: 0
2025-08-14T22:19:14.6575339Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-14T22:19:18.7496696Z 
2025-08-14T22:19:19.4072539Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:19:19.4073962Z 
2025-08-14T22:19:19.4074732Z config.json: 0.00B [00:00, ?B/s]
2025-08-14T22:19:19.4074977Z config.json: 2.26kB [00:00, 12.1MB/s]
2025-08-14T22:19:26.8310670Z 
2025-08-14T22:19:26.8311366Z loading model: 0it [00:08, ?it/s]
2025-08-14T22:19:26.8331689Z cpu  eval  hf_distil_whisper                  
2025-08-14T22:19:47.1236071Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:19:54.0808800Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:19:59.8161614Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:20:32.3164497Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3165019Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3165697Z     return mod(*inputs)
2025-08-14T22:20:32.3166171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3166628Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3167091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 677, in forward
2025-08-14T22:20:32.3167602Z     inputs_embeds = nn.functional.gelu(self.conv1(input_features))
2025-08-14T22:20:32.3167835Z 
2025-08-14T22:20:32.3167970Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3169589Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3170074Z     return mod(*inputs)
2025-08-14T22:20:32.3170802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3171326Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3171760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 677, in forward
2025-08-14T22:20:32.3172271Z     inputs_embeds = nn.functional.gelu(self.conv1(input_features))
2025-08-14T22:20:32.3172480Z 
2025-08-14T22:20:32.3172603Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3173020Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3173385Z     return mod(*inputs)
2025-08-14T22:20:32.3173810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3174263Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3174706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 678, in forward
2025-08-14T22:20:32.3175198Z     inputs_embeds = nn.functional.gelu(self.conv2(inputs_embeds))
2025-08-14T22:20:32.3175407Z 
2025-08-14T22:20:32.3175526Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3175943Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3176302Z     return mod(*inputs)
2025-08-14T22:20:32.3176782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3177225Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3177664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3178104Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3178493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3178900Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3179357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3179802Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3180253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3180737Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3180920Z 
2025-08-14T22:20:32.3181043Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3181495Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3181851Z     return mod(*inputs)
2025-08-14T22:20:32.3182267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3182696Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3183141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3183588Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3183978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3184384Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3184846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3185318Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3185813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3186380Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3186654Z 
2025-08-14T22:20:32.3186769Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3187164Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3187507Z     return mod(*inputs)
2025-08-14T22:20:32.3187917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3188364Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3188807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3189253Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3189829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3190226Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3190654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3191104Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3191558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3192092Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3192331Z 
2025-08-14T22:20:32.3192422Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3192671Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3192906Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3193132Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3193381Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3193771Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3194118Z     return mod(*inputs)
2025-08-14T22:20:32.3194517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3194962Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3195382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3195810Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3196182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3196577Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3197041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3197487Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3197933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3198393Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3198883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3199396Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3199606Z 
2025-08-14T22:20:32.3199720Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3200109Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3200460Z     return mod(*inputs)
2025-08-14T22:20:32.3200860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3201324Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3201786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3202238Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3202621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3203019Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3203455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3203908Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3204378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3204842Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3205329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3205820Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3206008Z 
2025-08-14T22:20:32.3206121Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3206510Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3206852Z     return mod(*inputs)
2025-08-14T22:20:32.3207283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3207722Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3208155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3208592Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3208982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3209384Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3209881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3210406Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3210869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3211313Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3211462Z 
2025-08-14T22:20:32.3211586Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3211966Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3212348Z     return mod(*inputs)
2025-08-14T22:20:32.3212763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3213195Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3213624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3214059Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3214438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3214821Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3215255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3215736Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3215922Z 
2025-08-14T22:20:32.3216040Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3216433Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3216814Z     return mod(*inputs)
2025-08-14T22:20:32.3217246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3217716Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3218142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3218570Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3218941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3219339Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3219774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3220253Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3220675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3221053Z     return self.act(input)
2025-08-14T22:20:32.3221185Z 
2025-08-14T22:20:32.3221303Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3221698Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3222042Z     return mod(*inputs)
2025-08-14T22:20:32.3222466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3222908Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3223341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3223790Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3224170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3224559Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3224985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3225430Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3225578Z 
2025-08-14T22:20:32.3225701Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3226084Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3226427Z     return mod(*inputs)
2025-08-14T22:20:32.3226850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3227291Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3227750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3228186Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3228564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3228954Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3229387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3229834Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3230283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3230760Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3230939Z 
2025-08-14T22:20:32.3231052Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3231444Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3231825Z     return mod(*inputs)
2025-08-14T22:20:32.3232242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3232823Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3233280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3233709Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3234087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3234483Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3234923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3235370Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3235829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3236365Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3236601Z 
2025-08-14T22:20:32.3236725Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3237107Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3237458Z     return mod(*inputs)
2025-08-14T22:20:32.3237866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3238300Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3238716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3239151Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3239533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3239921Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3240363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3240829Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3241291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3241815Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3242064Z 
2025-08-14T22:20:32.3242153Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3242388Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3242620Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3242861Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3243122Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3243516Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3243862Z     return mod(*inputs)
2025-08-14T22:20:32.3244274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3244720Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3245164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3245602Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3245985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3246379Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3246816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3247285Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3247768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3248253Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3248734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3249257Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3249552Z 
2025-08-14T22:20:32.3249684Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3250075Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3250502Z     return mod(*inputs)
2025-08-14T22:20:32.3250920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3251359Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3251779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3252210Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3252592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3252994Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3253427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3253878Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3254332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3254789Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3255275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3255781Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3255959Z 
2025-08-14T22:20:32.3256084Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3256469Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3256822Z     return mod(*inputs)
2025-08-14T22:20:32.3257229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3257666Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3258084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3258542Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3258924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3259313Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3259745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3260193Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3260654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3261096Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3261253Z 
2025-08-14T22:20:32.3261365Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3261755Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3262444Z     return mod(*inputs)
2025-08-14T22:20:32.3262854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3263378Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3263838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3264297Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3264682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3265086Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3265531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-14T22:20:32.3265962Z     hidden_states = residual + hidden_states
2025-08-14T22:20:32.3266114Z 
2025-08-14T22:20:32.3266228Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3266615Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3266967Z     return mod(*inputs)
2025-08-14T22:20:32.3267362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3267804Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3268229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3268662Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3269043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3269441Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3269877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3270348Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3270546Z 
2025-08-14T22:20:32.3270661Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3271052Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3271397Z     return mod(*inputs)
2025-08-14T22:20:32.3271803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3272238Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3272665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3273087Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3273470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3273864Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3274329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3274805Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3275223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3275596Z     return self.act(input)
2025-08-14T22:20:32.3275718Z 
2025-08-14T22:20:32.3275831Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3276253Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3276608Z     return mod(*inputs)
2025-08-14T22:20:32.3277010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3277430Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3277856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3278305Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3278709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3279102Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3279559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3279995Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3280144Z 
2025-08-14T22:20:32.3280256Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3280645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3280994Z     return mod(*inputs)
2025-08-14T22:20:32.3281404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3281833Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3282263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3282690Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3283066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3283458Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3283912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3284363Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3284826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3285298Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3285477Z 
2025-08-14T22:20:32.3285597Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3285984Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3286325Z     return mod(*inputs)
2025-08-14T22:20:32.3286729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3287168Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3287605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3288036Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3288418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3288820Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3289285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3289738Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3290193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3290797Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3291046Z 
2025-08-14T22:20:32.3291159Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3291556Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3291913Z     return mod(*inputs)
2025-08-14T22:20:32.3292311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3292751Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3293185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3293648Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3294045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3294441Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3294898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3295347Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3295813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3296355Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3296602Z 
2025-08-14T22:20:32.3296703Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3296942Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3297181Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3297419Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3297676Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3298075Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3298436Z     return mod(*inputs)
2025-08-14T22:20:32.3298855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3299293Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3299736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3300178Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3300563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3300974Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3301425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3301984Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3302504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3303308Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3303925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3304516Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3304798Z 
2025-08-14T22:20:32.3304980Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3305440Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3321622Z     return mod(*inputs)
2025-08-14T22:20:32.3322121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3322582Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3323037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3323484Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3323889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3324305Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3324748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3325219Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3325685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3326270Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3326809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3327354Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3327542Z 
2025-08-14T22:20:32.3327667Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3328072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3328424Z     return mod(*inputs)
2025-08-14T22:20:32.3328839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3329282Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3329709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3330147Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3330653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3331063Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3331503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3331962Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3332416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3332862Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3333017Z 
2025-08-14T22:20:32.3333137Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3333537Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3333900Z     return mod(*inputs)
2025-08-14T22:20:32.3334304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3334743Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3335174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3335604Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3335980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3336385Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3336821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3337301Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3337528Z 
2025-08-14T22:20:32.3337655Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3338051Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3338415Z     return mod(*inputs)
2025-08-14T22:20:32.3338834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3339284Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3339720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3340154Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3340538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3340937Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3341385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3341894Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3342340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3342734Z     return self.act(input)
2025-08-14T22:20:32.3342865Z 
2025-08-14T22:20:32.3342981Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3343372Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3343715Z     return mod(*inputs)
2025-08-14T22:20:32.3344128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3344565Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3344996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3345437Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3345825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3346220Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3346662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3347111Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3347269Z 
2025-08-14T22:20:32.3347383Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3347779Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3348124Z     return mod(*inputs)
2025-08-14T22:20:32.3348532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3348972Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3349404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3349831Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3350214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3350610Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3351039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3351508Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3351958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3352436Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3352617Z 
2025-08-14T22:20:32.3352754Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3353150Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3353514Z     return mod(*inputs)
2025-08-14T22:20:32.3353918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3354350Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3354777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3355207Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3355580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3355988Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3356425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3356889Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3357387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3357930Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3358188Z 
2025-08-14T22:20:32.3358312Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3358708Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3359065Z     return mod(*inputs)
2025-08-14T22:20:32.3359473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3359910Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3360335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3360775Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3361157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3361554Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3362251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3362725Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3363180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3363713Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3363959Z 
2025-08-14T22:20:32.3364053Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3364296Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3364534Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3364757Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3365020Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3365413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3365756Z     return mod(*inputs)
2025-08-14T22:20:32.3366165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3366601Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3367025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3367455Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3367836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3368347Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3368789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3369234Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3369684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3370146Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3370694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3371225Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3371434Z 
2025-08-14T22:20:32.3371549Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3371941Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3372289Z     return mod(*inputs)
2025-08-14T22:20:32.3372699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3373220Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3373651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3374117Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3374497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3374894Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3375321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3375776Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3376225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3376681Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3377158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3377660Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3377836Z 
2025-08-14T22:20:32.3377959Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3378353Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3378701Z     return mod(*inputs)
2025-08-14T22:20:32.3379106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3379537Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3379957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3380389Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3380771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3381167Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3381618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3382069Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3382512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3382946Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3383103Z 
2025-08-14T22:20:32.3383218Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3383649Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3384003Z     return mod(*inputs)
2025-08-14T22:20:32.3384411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3384849Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3385277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3385712Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3386088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3386482Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3386915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-14T22:20:32.3387365Z     hidden_states = residual + hidden_states
2025-08-14T22:20:32.3387521Z 
2025-08-14T22:20:32.3387639Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3388065Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3388439Z     return mod(*inputs)
2025-08-14T22:20:32.3388850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3389316Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3389746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3390183Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3390565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3390961Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3391401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3391882Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3392077Z 
2025-08-14T22:20:32.3392195Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3392590Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3392946Z     return mod(*inputs)
2025-08-14T22:20:32.3393349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3393789Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3394221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3394660Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3395049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3395452Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3395902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3396377Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3396811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3397192Z     return self.act(input)
2025-08-14T22:20:32.3397314Z 
2025-08-14T22:20:32.3397439Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3397841Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3398202Z     return mod(*inputs)
2025-08-14T22:20:32.3398609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3399043Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3399502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3399942Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3400319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3400717Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3401152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3401595Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3401746Z 
2025-08-14T22:20:32.3401859Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3402254Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3402605Z     return mod(*inputs)
2025-08-14T22:20:32.3403009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3403463Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3403911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3404361Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3404733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3405131Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3405565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3406016Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3406456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3406926Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3407116Z 
2025-08-14T22:20:32.3407229Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3407614Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3407958Z     return mod(*inputs)
2025-08-14T22:20:32.3408367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3408797Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3409213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3409643Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3410016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3410527Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3410970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3411429Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3411889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3412434Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3412675Z 
2025-08-14T22:20:32.3412802Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3413196Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3413550Z     return mod(*inputs)
2025-08-14T22:20:32.3413965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3414428Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3414860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3415301Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3415684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3416087Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3416529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3416984Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3417441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3417967Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3418217Z 
2025-08-14T22:20:32.3418310Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3418574Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3418798Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3419045Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3419307Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3419723Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3420061Z     return mod(*inputs)
2025-08-14T22:20:32.3420467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3420900Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3421320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3421760Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3422146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3422543Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3422977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3423425Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3423872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3424331Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3424811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3425334Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3425536Z 
2025-08-14T22:20:32.3425659Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3426044Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3426393Z     return mod(*inputs)
2025-08-14T22:20:32.3426797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3427230Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3427649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3428075Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3428457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3428840Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3429278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3429764Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3430215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3430666Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3431149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3431652Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3431826Z 
2025-08-14T22:20:32.3431950Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3432335Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3432687Z     return mod(*inputs)
2025-08-14T22:20:32.3433090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3433518Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3433947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3434439Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3434827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3435238Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3435676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3436127Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3436575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3437012Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3437170Z 
2025-08-14T22:20:32.3437286Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3437680Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3438028Z     return mod(*inputs)
2025-08-14T22:20:32.3438439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3438881Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3439310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3439737Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3440120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3440522Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3440950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3441431Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3441629Z 
2025-08-14T22:20:32.3441746Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3442138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3442487Z     return mod(*inputs)
2025-08-14T22:20:32.3442891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3443326Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3443750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3444176Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3444557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3444978Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3445410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3445890Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3446314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3446689Z     return self.act(input)
2025-08-14T22:20:32.3446810Z 
2025-08-14T22:20:32.3446924Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3447313Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3447668Z     return mod(*inputs)
2025-08-14T22:20:32.3448068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3448504Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3448933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3449393Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3449785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3450207Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3450747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3451206Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3451356Z 
2025-08-14T22:20:32.3451474Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3451864Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3452215Z     return mod(*inputs)
2025-08-14T22:20:32.3452618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3453063Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3453491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3453924Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3454302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3454699Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3455133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3455577Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3456028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3456503Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3456684Z 
2025-08-14T22:20:32.3456806Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3457194Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3457555Z     return mod(*inputs)
2025-08-14T22:20:32.3457966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3458397Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3458818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3459247Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3459624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3460018Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3460486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3460943Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3461390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3461910Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3462403Z 
2025-08-14T22:20:32.3462523Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3462922Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3463281Z     return mod(*inputs)
2025-08-14T22:20:32.3463685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3464140Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3464572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3465079Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3465488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3465918Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3466357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3466820Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3467276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3467817Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3468063Z 
2025-08-14T22:20:32.3468165Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3468398Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3468630Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3468864Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3469115Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3469509Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3469862Z     return mod(*inputs)
2025-08-14T22:20:32.3470261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3470701Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3471130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3471562Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3471938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3472342Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3472781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3473234Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3473679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3474145Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3474634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3475155Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3475367Z 
2025-08-14T22:20:32.3475482Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3475934Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3476295Z     return mod(*inputs)
2025-08-14T22:20:32.3476699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3477138Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3477568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3477998Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3478374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3478771Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3479209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3479659Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3480105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3480649Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3481140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3481651Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3481837Z 
2025-08-14T22:20:32.3481952Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3482342Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3482696Z     return mod(*inputs)
2025-08-14T22:20:32.3483094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3483528Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3483954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3484389Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3484758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3485154Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3485586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3486028Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3486477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3486928Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3487074Z 
2025-08-14T22:20:32.3487196Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3487580Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3487934Z     return mod(*inputs)
2025-08-14T22:20:32.3488342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3488773Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3489199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3489632Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3490011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3490480Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3490921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-14T22:20:32.3491390Z     hidden_states = residual + hidden_states
2025-08-14T22:20:32.3491543Z 
2025-08-14T22:20:32.3491668Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3492056Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3492407Z     return mod(*inputs)
2025-08-14T22:20:32.3492818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3493245Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3493672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3494105Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3494483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3494866Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3495301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3495857Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3496048Z 
2025-08-14T22:20:32.3496172Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3496572Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3496921Z     return mod(*inputs)
2025-08-14T22:20:32.3497322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3497749Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3498176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3498606Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3498995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3499385Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3499823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3500318Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3500731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3501105Z     return self.act(input)
2025-08-14T22:20:32.3501235Z 
2025-08-14T22:20:32.3501347Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3501741Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3502096Z     return mod(*inputs)
2025-08-14T22:20:32.3502505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3502937Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3503360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3503797Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3504183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3504575Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3504998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3505445Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3505593Z 
2025-08-14T22:20:32.3505715Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3506101Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3506481Z     return mod(*inputs)
2025-08-14T22:20:32.3506893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3507329Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3507749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3508192Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3508572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3508962Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3509391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3509842Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3510293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3510792Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3510972Z 
2025-08-14T22:20:32.3511849Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3512251Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3512626Z     return mod(*inputs)
2025-08-14T22:20:32.3513022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3513460Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3513885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3514311Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3514677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3515061Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3515489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3515919Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3516362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3516879Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3517113Z 
2025-08-14T22:20:32.3517234Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3517616Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3517968Z     return mod(*inputs)
2025-08-14T22:20:32.3518377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3518817Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3519238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3519665Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3520051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3520435Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3520872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3521323Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3521774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3522322Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3522575Z 
2025-08-14T22:20:32.3522664Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3522905Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3523135Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3523350Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3523609Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3524001Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3524342Z     return mod(*inputs)
2025-08-14T22:20:32.3524750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3525187Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3525608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3526039Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3526420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3526869Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3527300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3527781Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3528230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3528685Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3529165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3529689Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3529890Z 
2025-08-14T22:20:32.3530582Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3530982Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3531328Z     return mod(*inputs)
2025-08-14T22:20:32.3531736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3532179Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3532599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3533033Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3533418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3533814Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3534240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3534691Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3535143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3535590Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3536090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3536586Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3536760Z 
2025-08-14T22:20:32.3536880Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3537263Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3537615Z     return mod(*inputs)
2025-08-14T22:20:32.3538049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3538508Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3538931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3539360Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3539741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3540125Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3540561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3541006Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3541451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3541883Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3542039Z 
2025-08-14T22:20:32.3542182Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3542589Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3542948Z     return mod(*inputs)
2025-08-14T22:20:32.3543346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3543798Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3544224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3544643Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3545022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3545418Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3545858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3546344Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3546536Z 
2025-08-14T22:20:32.3546652Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3547040Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3547381Z     return mod(*inputs)
2025-08-14T22:20:32.3547795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3548234Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3548659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3549078Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3549463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3549858Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3550292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3550763Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3551183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3551558Z     return self.act(input)
2025-08-14T22:20:32.3551677Z 
2025-08-14T22:20:32.3551790Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3552180Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3552542Z     return mod(*inputs)
2025-08-14T22:20:32.3552943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3553409Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3553838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3554268Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3554639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3555032Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3555464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3555915Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3556065Z 
2025-08-14T22:20:32.3556179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3556569Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3556920Z     return mod(*inputs)
2025-08-14T22:20:32.3557323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3557795Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3558226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3558678Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3559047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3559443Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3559879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3560330Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3560774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3561248Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3561427Z 
2025-08-14T22:20:32.3561550Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3561937Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3562503Z     return mod(*inputs)
2025-08-14T22:20:32.3562916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3563356Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3563777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3564214Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3564599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3565002Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3565438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3565895Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3566355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3566883Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3567129Z 
2025-08-14T22:20:32.3567242Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3567634Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3567984Z     return mod(*inputs)
2025-08-14T22:20:32.3568481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3568921Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3569356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3569785Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3570157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3570654Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3571095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3571542Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3572003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3572550Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3572795Z 
2025-08-14T22:20:32.3572936Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3573171Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3573431Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3573662Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3573942Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3574335Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3574682Z     return mod(*inputs)
2025-08-14T22:20:32.3575085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3575516Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3575949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3576392Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3576768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3577170Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3577609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3578063Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3578503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3578963Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3579445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3579970Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3580173Z 
2025-08-14T22:20:32.3580290Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3580687Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3581037Z     return mod(*inputs)
2025-08-14T22:20:32.3581436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3581870Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3582297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3582738Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3583113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3583510Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3583967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3584422Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3584865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3585329Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3585817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3586307Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3586491Z 
2025-08-14T22:20:32.3586607Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3587001Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3587362Z     return mod(*inputs)
2025-08-14T22:20:32.3587764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3588206Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3588690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3589123Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3589515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3589912Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3590346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3590790Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3591240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3591680Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3591831Z 
2025-08-14T22:20:32.3591952Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3592341Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3592692Z     return mod(*inputs)
2025-08-14T22:20:32.3593097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3593537Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3593953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3594383Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3594762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3595146Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3595592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-14T22:20:32.3596019Z     hidden_states = residual + hidden_states
2025-08-14T22:20:32.3596163Z 
2025-08-14T22:20:32.3596284Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3596663Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3597016Z     return mod(*inputs)
2025-08-14T22:20:32.3597418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3597843Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3598257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3598668Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3599033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3599423Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3599850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3600319Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3600502Z 
2025-08-14T22:20:32.3600619Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3600987Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3601326Z     return mod(*inputs)
2025-08-14T22:20:32.3601721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3602135Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3602551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3602970Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3603361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3603757Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3604180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3604671Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3605069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3605428Z     return self.act(input)
2025-08-14T22:20:32.3605552Z 
2025-08-14T22:20:32.3605664Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3606045Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3606377Z     return mod(*inputs)
2025-08-14T22:20:32.3606670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3606752Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3607028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3607115Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3607346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3607438Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3607710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3607796Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3607800Z 
2025-08-14T22:20:32.3607918Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3608127Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3608205Z     return mod(*inputs)
2025-08-14T22:20:32.3608486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3608564Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3608842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3608917Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3609147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3609238Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3609509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3609641Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3609916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3610045Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3610049Z 
2025-08-14T22:20:32.3610168Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3610472Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3610558Z     return mod(*inputs)
2025-08-14T22:20:32.3610852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3610932Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3611229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3611308Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3611555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3611679Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3611986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3612118Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3612400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3612579Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3612584Z 
2025-08-14T22:20:32.3612707Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3612922Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3613000Z     return mod(*inputs)
2025-08-14T22:20:32.3613291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3613374Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3613664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3613744Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3613981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3614075Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3614357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3614462Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3614746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3614928Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3614933Z 
2025-08-14T22:20:32.3615031Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3615117Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3615210Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3615292Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3615407Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3615627Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3615696Z     return mod(*inputs)
2025-08-14T22:20:32.3615984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3616071Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3616375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3616464Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3616715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3616804Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3617098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3617196Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3617482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3617597Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3617911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3618067Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3618090Z 
2025-08-14T22:20:32.3618203Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3618434Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3618514Z     return mod(*inputs)
2025-08-14T22:20:32.3618822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3618910Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3619196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3619274Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3619521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3619607Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3619892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3619999Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3620282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3620397Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3620719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3620838Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3620843Z 
2025-08-14T22:20:32.3620965Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3621183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3621262Z     return mod(*inputs)
2025-08-14T22:20:32.3621553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3621635Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3621931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3622011Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3622254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3622351Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3622636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3622740Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3623057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3623152Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3623156Z 
2025-08-14T22:20:32.3623281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3623499Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3623577Z     return mod(*inputs)
2025-08-14T22:20:32.3623867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3623948Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3624239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3624317Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3624560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3624658Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3624970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3625130Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3625135Z 
2025-08-14T22:20:32.3625289Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3625508Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3625600Z     return mod(*inputs)
2025-08-14T22:20:32.3625891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3625976Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3626262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3626340Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3626590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3626678Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3626969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3627103Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3627329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3627414Z     return self.act(input)
2025-08-14T22:20:32.3627418Z 
2025-08-14T22:20:32.3627527Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3627737Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3627815Z     return mod(*inputs)
2025-08-14T22:20:32.3628098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3628175Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3628463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3628540Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3628785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3628866Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3629143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3629237Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3629241Z 
2025-08-14T22:20:32.3629350Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3629582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3629653Z     return mod(*inputs)
2025-08-14T22:20:32.3629935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3630020Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3630298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3630373Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3630615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3630698Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3630977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3631072Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3631348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3631532Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3631537Z 
2025-08-14T22:20:32.3631646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3631878Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3631946Z     return mod(*inputs)
2025-08-14T22:20:32.3632224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3632308Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3632581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3632655Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3632897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3632981Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3633268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3633367Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3633649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3633843Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3633847Z 
2025-08-14T22:20:32.3633954Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3634166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3634232Z     return mod(*inputs)
2025-08-14T22:20:32.3634510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3634597Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3634873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3634949Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3635187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3635270Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3635547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3635644Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3635945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3636151Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3636158Z 
2025-08-14T22:20:32.3636248Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3636347Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3636434Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3636521Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3636646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3636862Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3636935Z     return mod(*inputs)
2025-08-14T22:20:32.3637241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3637324Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3637621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3637723Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3637981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3638078Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3638382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3638480Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3638793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3638901Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3639221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3639368Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3639374Z 
2025-08-14T22:20:32.3639486Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3639711Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3639781Z     return mod(*inputs)
2025-08-14T22:20:32.3640076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3640156Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3640440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3640527Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3640764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3640851Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3641147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3641244Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3641535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3641641Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3641953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3642080Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3642084Z 
2025-08-14T22:20:32.3642195Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3642414Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3642484Z     return mod(*inputs)
2025-08-14T22:20:32.3642792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3642884Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3643170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3643250Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3643504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3643591Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3643884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3643982Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3644273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3644371Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3644397Z 
2025-08-14T22:20:32.3644510Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3644749Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3644839Z     return mod(*inputs)
2025-08-14T22:20:32.3645127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3645215Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3645497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3645576Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3645827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3645911Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3646202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-14T22:20:32.3646294Z     hidden_states = residual + hidden_states
2025-08-14T22:20:32.3646298Z 
2025-08-14T22:20:32.3646409Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3646629Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3646699Z     return mod(*inputs)
2025-08-14T22:20:32.3646994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3647071Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3647353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3647437Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3647677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3647762Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3648053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3648185Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3648189Z 
2025-08-14T22:20:32.3648307Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3648517Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3648584Z     return mod(*inputs)
2025-08-14T22:20:32.3648878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3648955Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3649262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3649344Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3649583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3649675Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3649960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3650087Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3650401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3650487Z     return self.act(input)
2025-08-14T22:20:32.3650492Z 
2025-08-14T22:20:32.3650612Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3650827Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3650898Z     return mod(*inputs)
2025-08-14T22:20:32.3651247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3651329Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3651615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3651723Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3651964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3652059Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3652362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3652450Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3652454Z 
2025-08-14T22:20:32.3652576Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3652788Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3652870Z     return mod(*inputs)
2025-08-14T22:20:32.3653158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3653239Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3653545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3653622Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3653861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3653956Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3654263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3654372Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3654660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3654782Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3654788Z 
2025-08-14T22:20:32.3654908Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3655116Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3655192Z     return mod(*inputs)
2025-08-14T22:20:32.3655480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3655559Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3655922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3656005Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3656252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3656348Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3656630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3656737Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3657041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3657218Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3657222Z 
2025-08-14T22:20:32.3657343Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3657559Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3657638Z     return mod(*inputs)
2025-08-14T22:20:32.3657978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3658058Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3658373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3658453Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3658695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3658790Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3659091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3659199Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3659503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3659689Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3659692Z 
2025-08-14T22:20:32.3659790Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3659878Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3659970Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3660054Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3660165Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3660385Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3660457Z     return mod(*inputs)
2025-08-14T22:20:32.3660751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3660839Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3661127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3661216Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3661460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3661552Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3661848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3661948Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3662463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3662585Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3662976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3663134Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3663139Z 
2025-08-14T22:20:32.3663253Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3663465Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3663545Z     return mod(*inputs)
2025-08-14T22:20:32.3663832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3663921Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3664206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3664284Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3664532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3664620Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3664960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3665069Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3665396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3665510Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3665827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3665946Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3665950Z 
2025-08-14T22:20:32.3666071Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3666285Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3666362Z     return mod(*inputs)
2025-08-14T22:20:32.3666654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3666732Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3667023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3667102Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3667339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3667434Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3667716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3667819Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3668105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3668198Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3668202Z 
2025-08-14T22:20:32.3668321Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3668533Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3668609Z     return mod(*inputs)
2025-08-14T22:20:32.3668897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3668977Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3669267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3669345Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3669603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3669702Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3669995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3670131Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3670137Z 
2025-08-14T22:20:32.3670249Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3670464Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3670542Z     return mod(*inputs)
2025-08-14T22:20:32.3670832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3670918Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3671207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3671306Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3671575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3671664Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3671966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3672102Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3672332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3672418Z     return self.act(input)
2025-08-14T22:20:32.3672421Z 
2025-08-14T22:20:32.3672533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3672745Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3672824Z     return mod(*inputs)
2025-08-14T22:20:32.3673109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3673189Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3673475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3673555Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3673805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3673889Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3674189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3674287Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3674292Z 
2025-08-14T22:20:32.3674405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3674622Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3674693Z     return mod(*inputs)
2025-08-14T22:20:32.3674977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3675064Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3675344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3675421Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3675667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3675751Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3676056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3676173Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3676464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3676595Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3676601Z 
2025-08-14T22:20:32.3676712Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3676931Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3677001Z     return mod(*inputs)
2025-08-14T22:20:32.3677290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3677375Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3677675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3677757Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3678026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3678134Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3678428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3678548Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3678849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3679034Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3679038Z 
2025-08-14T22:20:32.3679148Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3679369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3679440Z     return mod(*inputs)
2025-08-14T22:20:32.3679732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3679819Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3680103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3680183Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3680429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3680514Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3680816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3680913Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3681217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3681406Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3681410Z 
2025-08-14T22:20:32.3681496Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3681588Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3681672Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3681755Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3681873Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3682085Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3682152Z     return mod(*inputs)
2025-08-14T22:20:32.3682449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3682527Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3682844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3682926Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3683168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3683264Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3683545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3683644Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3683933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3684040Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3684362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3684528Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3684531Z 
2025-08-14T22:20:32.3684661Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3684881Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3684972Z     return mod(*inputs)
2025-08-14T22:20:32.3685270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3685350Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3685635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3685720Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3685965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3686052Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3686346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3686443Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3686733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3686840Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3687151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3687277Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3687281Z 
2025-08-14T22:20:32.3687393Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3687613Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3687684Z     return mod(*inputs)
2025-08-14T22:20:32.3687975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3688063Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3688344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3688425Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3688673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3688758Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3689049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3689146Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3689453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3689556Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3689562Z 
2025-08-14T22:20:32.3689674Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3689895Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3689968Z     return mod(*inputs)
2025-08-14T22:20:32.3690256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3690626Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3690916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3690994Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3691254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3691367Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3691685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-14T22:20:32.3691776Z     hidden_states = residual + hidden_states
2025-08-14T22:20:32.3691799Z 
2025-08-14T22:20:32.3691915Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3692138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3692209Z     return mod(*inputs)
2025-08-14T22:20:32.3692496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3692584Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3692887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3692972Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3693216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3693303Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3693598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3693728Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3693732Z 
2025-08-14T22:20:32.3693850Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3694060Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3694128Z     return mod(*inputs)
2025-08-14T22:20:32.3694423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3694502Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3694784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3694874Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3695111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3695205Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3695489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3695615Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3695853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3695927Z     return self.act(input)
2025-08-14T22:20:32.3695930Z 
2025-08-14T22:20:32.3696049Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3696297Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3696371Z     return mod(*inputs)
2025-08-14T22:20:32.3696673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3696753Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3697047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3697131Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3697364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3697458Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3697738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3697825Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3697850Z 
2025-08-14T22:20:32.3697968Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3698191Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3698269Z     return mod(*inputs)
2025-08-14T22:20:32.3698567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3698642Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3698924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3698997Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3699227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3699318Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3699594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3699698Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3699972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3700093Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3700097Z 
2025-08-14T22:20:32.3700210Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3700415Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3700489Z     return mod(*inputs)
2025-08-14T22:20:32.3700768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3700843Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3701127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3701204Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3701439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3701535Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3701810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3701912Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3702193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3702365Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3702368Z 
2025-08-14T22:20:32.3702486Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3702711Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3702792Z     return mod(*inputs)
2025-08-14T22:20:32.3703070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3703148Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3703434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3703512Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3703747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3703840Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3704118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3704222Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3704540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3704718Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3704749Z 
2025-08-14T22:20:32.3704844Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3704927Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3705007Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3705096Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3705205Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3705420Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3705488Z     return mod(*inputs)
2025-08-14T22:20:32.3705769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3705856Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3706135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3706220Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3706455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3706539Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3706822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3706916Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3707207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3707320Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3707634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3707787Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3707791Z 
2025-08-14T22:20:32.3707902Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3708127Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3708204Z     return mod(*inputs)
2025-08-14T22:20:32.3708492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3708579Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3708871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3708951Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3709217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3709310Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3709612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3709721Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3710021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3710135Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3710456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3710578Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3710582Z 
2025-08-14T22:20:32.3710704Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3710920Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3711018Z     return mod(*inputs)
2025-08-14T22:20:32.3711331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3711429Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3711723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3711802Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3712041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3712135Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3712431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3712537Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3712823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3712913Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3712918Z 
2025-08-14T22:20:32.3713037Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3713247Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3713326Z     return mod(*inputs)
2025-08-14T22:20:32.3713611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3713690Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3713993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3714072Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3714307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3714402Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3714684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3714818Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3714822Z 
2025-08-14T22:20:32.3714932Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3715142Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3715218Z     return mod(*inputs)
2025-08-14T22:20:32.3715503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3715581Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3715910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3715993Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3716238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3716324Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3716612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3716747Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3716979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3717061Z     return self.act(input)
2025-08-14T22:20:32.3717064Z 
2025-08-14T22:20:32.3717176Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3717388Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3717487Z     return mod(*inputs)
2025-08-14T22:20:32.3717790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3717870Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3718181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3718259Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3718501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3718587Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3718891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3718988Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3718992Z 
2025-08-14T22:20:32.3719105Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3719327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3719397Z     return mod(*inputs)
2025-08-14T22:20:32.3719683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3719769Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3720072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3720149Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3720396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3720481Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3720788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3720887Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3721171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3721304Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3721308Z 
2025-08-14T22:20:32.3721419Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3721637Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3721705Z     return mod(*inputs)
2025-08-14T22:20:32.3721995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3722079Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3722399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3722482Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3722737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3722822Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3723118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3723216Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3723507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3723695Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3723699Z 
2025-08-14T22:20:32.3723809Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3724028Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3724117Z     return mod(*inputs)
2025-08-14T22:20:32.3724424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3724530Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3724813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3724891Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3725137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3725222Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3725512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3725611Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3725893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3726083Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3726089Z 
2025-08-14T22:20:32.3726176Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3726269Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3726352Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3726436Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3726552Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3726762Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3726831Z     return mod(*inputs)
2025-08-14T22:20:32.3727127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3727208Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3727499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3727577Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3727816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3727911Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3728193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3728291Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3728583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3728687Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3729021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3729172Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3729176Z 
2025-08-14T22:20:32.3729287Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3729507Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3729575Z     return mod(*inputs)
2025-08-14T22:20:32.3729870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3729947Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3730229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3730398Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3730654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3730773Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3731099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3731218Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3731510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3731614Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3731927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3732055Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3732059Z 
2025-08-14T22:20:32.3732170Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3732395Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3732468Z     return mod(*inputs)
2025-08-14T22:20:32.3732759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3732846Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3733132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3733209Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3733459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3733545Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3733836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3733935Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3734219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3734319Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3734323Z 
2025-08-14T22:20:32.3734436Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3734656Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3734726Z     return mod(*inputs)
2025-08-14T22:20:32.3735012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3735098Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3735400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3735477Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3735760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3735851Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3736134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-14T22:20:32.3736221Z     hidden_states = residual + hidden_states
2025-08-14T22:20:32.3736225Z 
2025-08-14T22:20:32.3736332Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3736544Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3736612Z     return mod(*inputs)
2025-08-14T22:20:32.3736893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3736976Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3737256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3737361Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3737614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3737699Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3737999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3738124Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3738128Z 
2025-08-14T22:20:32.3738242Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3738445Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3738515Z     return mod(*inputs)
2025-08-14T22:20:32.3738799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3738875Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3739153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3739235Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3739467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3739559Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3739831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3739952Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3740182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3740256Z     return self.act(input)
2025-08-14T22:20:32.3740262Z 
2025-08-14T22:20:32.3740378Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3740584Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3740653Z     return mod(*inputs)
2025-08-14T22:20:32.3740939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3741016Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3741290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3741373Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3741606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3741696Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3741998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3742090Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3742093Z 
2025-08-14T22:20:32.3742211Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3742413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3742482Z     return mod(*inputs)
2025-08-14T22:20:32.3742772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3742848Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3743129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3743204Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3743434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3743529Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3743845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3743953Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3744245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3744362Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3744366Z 
2025-08-14T22:20:32.3744484Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3744689Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3744757Z     return mod(*inputs)
2025-08-14T22:20:32.3745042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3745119Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3745406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3745483Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3745729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3745823Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3746113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3746213Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3746494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3746663Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3746667Z 
2025-08-14T22:20:32.3746785Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3746993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3747060Z     return mod(*inputs)
2025-08-14T22:20:32.3747351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3747431Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3747723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3747799Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3748043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3748135Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3748451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3748560Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3748858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3749038Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3749042Z 
2025-08-14T22:20:32.3749137Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3749222Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3749305Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3749396Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3749517Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3749732Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3749800Z     return mod(*inputs)
2025-08-14T22:20:32.3750084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3750192Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3750489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3750587Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3750835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3750919Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3751207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3751302Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3751589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3751699Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3752012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3752161Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3752166Z 
2025-08-14T22:20:32.3752276Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3752487Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3752564Z     return mod(*inputs)
2025-08-14T22:20:32.3752850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3752927Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3753218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3753294Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3753543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3753627Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3753908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3754014Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3754303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3754413Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3754734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3754873Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3754878Z 
2025-08-14T22:20:32.3755001Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3755215Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3755285Z     return mod(*inputs)
2025-08-14T22:20:32.3755582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3755672Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3755965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3756043Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3756281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3756375Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3756659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3756798Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3757104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3757244Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3757248Z 
2025-08-14T22:20:32.3757368Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3757582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3757651Z     return mod(*inputs)
2025-08-14T22:20:32.3757952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3758030Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3758338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3758417Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3758659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3758752Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3759041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3759176Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3759180Z 
2025-08-14T22:20:32.3759292Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3759511Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3759589Z     return mod(*inputs)
2025-08-14T22:20:32.3759883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3759961Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3760260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3760339Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3760592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3760678Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3760983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3761116Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3761348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3761430Z     return self.act(input)
2025-08-14T22:20:32.3761433Z 
2025-08-14T22:20:32.3761570Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3761786Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3761863Z     return mod(*inputs)
2025-08-14T22:20:32.3762394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3762484Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3762775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3762853Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3763104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3763189Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3763493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3763669Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3763673Z 
2025-08-14T22:20:32.3763815Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3764035Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3764133Z     return mod(*inputs)
2025-08-14T22:20:32.3764427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3764515Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3764798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3764876Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3765125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3765214Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3765506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3765607Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3765892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3766026Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3766030Z 
2025-08-14T22:20:32.3766139Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3766358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3766427Z     return mod(*inputs)
2025-08-14T22:20:32.3766720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3766806Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3767089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3767170Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3767422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3767509Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3767799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3767900Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3768183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3768366Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3768370Z 
2025-08-14T22:20:32.3768514Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3768741Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3768812Z     return mod(*inputs)
2025-08-14T22:20:32.3769103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3769193Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3769474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3769553Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3769804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3769890Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3770183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3770352Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3770669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3770860Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3770880Z 
2025-08-14T22:20:32.3770968Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3771054Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3771146Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3771227Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3771348Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3771563Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3771633Z     return mod(*inputs)
2025-08-14T22:20:32.3771929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3772008Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3772293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3772384Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3772625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3772721Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3773008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3773108Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3773404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3773511Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3773845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3773990Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3773995Z 
2025-08-14T22:20:32.3774109Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3774328Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3774398Z     return mod(*inputs)
2025-08-14T22:20:32.3774688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3774777Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3775060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3775171Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3775415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3775504Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3775797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3775896Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3776204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3776308Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3776627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3776754Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3776758Z 
2025-08-14T22:20:32.3776872Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3777131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3777204Z     return mod(*inputs)
2025-08-14T22:20:32.3777494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3777601Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3777881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3777959Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3778202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3778288Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3778581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3778680Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3778963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3779059Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3779064Z 
2025-08-14T22:20:32.3779175Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3779385Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3779463Z     return mod(*inputs)
2025-08-14T22:20:32.3779746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3779831Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3780131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3780209Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3780456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3780540Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3780827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-14T22:20:32.3780915Z     hidden_states = residual + hidden_states
2025-08-14T22:20:32.3780919Z 
2025-08-14T22:20:32.3781030Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3781245Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3781314Z     return mod(*inputs)
2025-08-14T22:20:32.3781600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3781772Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3782058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3782146Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3782385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3782473Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3782768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3782896Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3782900Z 
2025-08-14T22:20:32.3783017Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3783229Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3783297Z     return mod(*inputs)
2025-08-14T22:20:32.3783593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3783718Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3784002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3784113Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3784353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3784446Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3784752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3784880Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3785120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3785195Z     return self.act(input)
2025-08-14T22:20:32.3785200Z 
2025-08-14T22:20:32.3785322Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3785536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3785608Z     return mod(*inputs)
2025-08-14T22:20:32.3785903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3785980Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3786262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3786348Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3786583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3786677Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3786959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3787049Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3787053Z 
2025-08-14T22:20:32.3787169Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3787382Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3787451Z     return mod(*inputs)
2025-08-14T22:20:32.3787746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3787823Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3788111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3788190Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3788453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3788553Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3788842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3788954Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3789248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3789372Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3789376Z 
2025-08-14T22:20:32.3789497Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3789715Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3789788Z     return mod(*inputs)
2025-08-14T22:20:32.3790091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3790195Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3790508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3790603Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3790842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3790936Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3791219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3791323Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3791615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3791786Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3791791Z 
2025-08-14T22:20:32.3791908Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3792113Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3792183Z     return mod(*inputs)
2025-08-14T22:20:32.3792475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3792556Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3792843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3792921Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3793161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3793258Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3793547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3793651Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3793926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3794103Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3794107Z 
2025-08-14T22:20:32.3794203Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3794289Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3794371Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3794462Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3794573Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3794815Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3794889Z     return mod(*inputs)
2025-08-14T22:20:32.3795182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3795268Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3795553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3795632Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3795881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3795968Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3796273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3796369Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3796654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3796795Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3797118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3797282Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3797285Z 
2025-08-14T22:20:32.3797393Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3797597Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3797672Z     return mod(*inputs)
2025-08-14T22:20:32.3797954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3798031Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3798321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3798398Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3798644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3798729Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3799006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3799108Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3799391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3799499Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3799806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3799923Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3799928Z 
2025-08-14T22:20:32.3800046Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3800255Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3800324Z     return mod(*inputs)
2025-08-14T22:20:32.3800615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3800692Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3800977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3801053Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3801288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3801409Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3801688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3801794Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3802070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3802157Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3802161Z 
2025-08-14T22:20:32.3802277Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3802482Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3802549Z     return mod(*inputs)
2025-08-14T22:20:32.3802837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3802914Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3803199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3803316Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3803554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3803676Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3803954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3804087Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3804091Z 
2025-08-14T22:20:32.3804202Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3804409Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3804483Z     return mod(*inputs)
2025-08-14T22:20:32.3804765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3804844Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3805131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3805209Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3805449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3805532Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3805815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3805947Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3806173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3806248Z     return self.act(input)
2025-08-14T22:20:32.3806261Z 
2025-08-14T22:20:32.3806369Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3806579Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3806654Z     return mod(*inputs)
2025-08-14T22:20:32.3806938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3807016Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3807301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3807377Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3807619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3807702Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3808008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3808109Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3808113Z 
2025-08-14T22:20:32.3808221Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3808431Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3808508Z     return mod(*inputs)
2025-08-14T22:20:32.3808786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3808870Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3809145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3809221Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3809465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3809568Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3809870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3809969Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3810336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3810482Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3810486Z 
2025-08-14T22:20:32.3810598Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3810814Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3810892Z     return mod(*inputs)
2025-08-14T22:20:32.3811187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3811275Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3811567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3811647Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3811901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3811987Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3812282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3812382Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3812670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3812858Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3812863Z 
2025-08-14T22:20:32.3812975Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3813189Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3813264Z     return mod(*inputs)
2025-08-14T22:20:32.3813562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3813649Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3813937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3814016Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3814270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3814355Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3814678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3814785Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3815066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3815255Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3815259Z 
2025-08-14T22:20:32.3815343Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3815428Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3815521Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3815602Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3815719Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3815930Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3816002Z     return mod(*inputs)
2025-08-14T22:20:32.3816320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3816429Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3816711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3816818Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3817057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3817150Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3817454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3817551Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3817845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3817951Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3818270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3818418Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3818421Z 
2025-08-14T22:20:32.3818533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3818755Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3818824Z     return mod(*inputs)
2025-08-14T22:20:32.3819111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3819197Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3819501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3819590Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3819828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3819914Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3820206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3820303Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3820593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3820697Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3821012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3821173Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3821179Z 
2025-08-14T22:20:32.3821293Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3821506Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3821585Z     return mod(*inputs)
2025-08-14T22:20:32.3821870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3821958Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3822261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3822339Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3822585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3822672Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3822962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3823126Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3823411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3823527Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3823531Z 
2025-08-14T22:20:32.3823646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3823858Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3823936Z     return mod(*inputs)
2025-08-14T22:20:32.3824226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3824311Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3824595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3824675Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3824925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3825013Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3825304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-14T22:20:32.3825391Z     hidden_states = residual + hidden_states
2025-08-14T22:20:32.3825395Z 
2025-08-14T22:20:32.3825505Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3825721Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3825791Z     return mod(*inputs)
2025-08-14T22:20:32.3826080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3826168Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3826450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3826535Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3826775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3826859Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3827152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3827279Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3827283Z 
2025-08-14T22:20:32.3827399Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3827635Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3827709Z     return mod(*inputs)
2025-08-14T22:20:32.3828004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3828083Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3828368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3828451Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3828688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3828778Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3829059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3829193Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3829422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3829514Z     return self.act(input)
2025-08-14T22:20:32.3829547Z 
2025-08-14T22:20:32.3829656Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3829870Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3829959Z     return mod(*inputs)
2025-08-14T22:20:32.3830252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3830331Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3830614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3830699Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3830944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3831039Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3831324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3831411Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3831416Z 
2025-08-14T22:20:32.3831536Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3831746Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3831814Z     return mod(*inputs)
2025-08-14T22:20:32.3832108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3832184Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3832475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3832554Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3832795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3832891Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3833173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3833279Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3833562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3833684Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3833687Z 
2025-08-14T22:20:32.3833807Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3834018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3834113Z     return mod(*inputs)
2025-08-14T22:20:32.3834413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3834495Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3834786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3834867Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3835106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3835200Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3835486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3835584Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3835873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3836077Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3836102Z 
2025-08-14T22:20:32.3836224Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3836434Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3836522Z     return mod(*inputs)
2025-08-14T22:20:32.3836817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3836894Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3837198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3837275Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3837515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3837610Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3837895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3837999Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3838283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3838464Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3838469Z 
2025-08-14T22:20:32.3838563Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3838648Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3838732Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3838824Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3838935Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3839155Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3839226Z     return mod(*inputs)
2025-08-14T22:20:32.3839516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3839605Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3839890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3839966Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3840216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3840303Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3840597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3840714Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3841002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3841115Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3841426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3841578Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3841582Z 
2025-08-14T22:20:32.3841694Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3841905Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3841982Z     return mod(*inputs)
2025-08-14T22:20:32.3846250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3846382Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3846729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3846809Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3847060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3847181Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3847474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3847580Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3847887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3847993Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3848360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3848481Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3848485Z 
2025-08-14T22:20:32.3848597Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3848823Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3848895Z     return mod(*inputs)
2025-08-14T22:20:32.3849188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3849274Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3849567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3849653Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3849907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3849996Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3850383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3850490Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3850797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3850886Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3850890Z 
2025-08-14T22:20:32.3851003Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3851224Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3851293Z     return mod(*inputs)
2025-08-14T22:20:32.3851616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3851709Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3851993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3852079Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3852324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3852410Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3852712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3852839Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3852842Z 
2025-08-14T22:20:32.3852962Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3853251Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3853323Z     return mod(*inputs)
2025-08-14T22:20:32.3853637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3853718Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3854001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3854108Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3854346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3854440Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3854721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3854845Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3855090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3855168Z     return self.act(input)
2025-08-14T22:20:32.3855172Z 
2025-08-14T22:20:32.3855292Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3855513Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3855584Z     return mod(*inputs)
2025-08-14T22:20:32.3855877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3855956Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3856236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3856322Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3856565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3856657Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3856952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3857039Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3857045Z 
2025-08-14T22:20:32.3857163Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3857374Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3857451Z     return mod(*inputs)
2025-08-14T22:20:32.3857735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3857813Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3858103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3858209Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3858449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3858545Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3858828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3858932Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3859215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3859336Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3859340Z 
2025-08-14T22:20:32.3859460Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3859670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3859797Z     return mod(*inputs)
2025-08-14T22:20:32.3860097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3860195Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3860489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3860587Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3860830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3860923Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3861208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3861311Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3861597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3861777Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3861780Z 
2025-08-14T22:20:32.3861899Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3862366Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3862454Z     return mod(*inputs)
2025-08-14T22:20:32.3862750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3862831Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3863127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3863205Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3863453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3863550Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3863839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3863946Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3864233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3864411Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3864415Z 
2025-08-14T22:20:32.3864511Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3864599Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3864684Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3864774Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3864887Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3865159Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3865232Z     return mod(*inputs)
2025-08-14T22:20:32.3865526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3865613Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3865897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3865975Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3866225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3866309Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3866606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3866748Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3867034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3867216Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3867534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3867716Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3867720Z 
2025-08-14T22:20:32.3867832Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3868047Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3868124Z     return mod(*inputs)
2025-08-14T22:20:32.3868415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3868497Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3868795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3868875Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3869129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3869216Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3869504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3869609Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3869898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3870013Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3870337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3870458Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3870463Z 
2025-08-14T22:20:32.3870584Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3870799Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3870871Z     return mod(*inputs)
2025-08-14T22:20:32.3871174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3871254Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3871561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3871640Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3871926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3872026Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3872317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3872420Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3872699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3872785Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3872789Z 
2025-08-14T22:20:32.3872904Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3873111Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3873179Z     return mod(*inputs)
2025-08-14T22:20:32.3873497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3873580Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3873883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3873959Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3874194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3874308Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3874585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-14T22:20:32.3874676Z     hidden_states = residual + hidden_states
2025-08-14T22:20:32.3874679Z 
2025-08-14T22:20:32.3874785Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3874991Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3875070Z     return mod(*inputs)
2025-08-14T22:20:32.3875349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3875428Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3875712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3875792Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3876031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3876113Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3876389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3876520Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3876524Z 
2025-08-14T22:20:32.3876636Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3876849Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3876920Z     return mod(*inputs)
2025-08-14T22:20:32.3877198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3877283Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3877562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3877637Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3877879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3877961Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3878246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3878400Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3878627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3878710Z     return self.act(input)
2025-08-14T22:20:32.3878714Z 
2025-08-14T22:20:32.3878822Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3879035Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3879103Z     return mod(*inputs)
2025-08-14T22:20:32.3879381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3879465Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3879740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3879842Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3880088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3880191Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3880473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3880581Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3880585Z 
2025-08-14T22:20:32.3880694Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3880907Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3880974Z     return mod(*inputs)
2025-08-14T22:20:32.3881255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3881336Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3881610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3881693Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3881924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3882007Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3882287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3882380Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3882659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3882778Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3882782Z 
2025-08-14T22:20:32.3882889Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3883103Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3883172Z     return mod(*inputs)
2025-08-14T22:20:32.3883448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3883531Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3883807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3883889Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3884123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3884206Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3884489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3884625Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3884914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3885088Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3885092Z 
2025-08-14T22:20:32.3885202Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3885415Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3885482Z     return mod(*inputs)
2025-08-14T22:20:32.3885760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3885844Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3886120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3886235Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3886472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3886577Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3886865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3886983Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3887278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3887457Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3887460Z 
2025-08-14T22:20:32.3887550Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3887645Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3887730Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3887816Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3887937Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3888149Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3888227Z     return mod(*inputs)
2025-08-14T22:20:32.3888517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3888596Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3888902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3888979Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3889224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3889318Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3889606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3889726Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3890027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3890136Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3890548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3890699Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3890703Z 
2025-08-14T22:20:32.3890822Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3891031Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3891102Z     return mod(*inputs)
2025-08-14T22:20:32.3891431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3891513Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3891813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3891903Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3892144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3892239Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3892538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3892636Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3892931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3893066Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3893404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3893524Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3893528Z 
2025-08-14T22:20:32.3893663Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3893884Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3893952Z     return mod(*inputs)
2025-08-14T22:20:32.3894238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3894326Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3894619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3894708Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3894947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3895032Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3895333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3895432Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3895736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3895825Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3895829Z 
2025-08-14T22:20:32.3895940Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3896167Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3896236Z     return mod(*inputs)
2025-08-14T22:20:32.3896527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3896615Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3896912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3896999Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3897241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3897324Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3897615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3897742Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3897746Z 
2025-08-14T22:20:32.3897862Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3898117Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3898194Z     return mod(*inputs)
2025-08-14T22:20:32.3898486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3898565Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3898862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3898948Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3899187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3899278Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3899583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3899736Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3899995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3900071Z     return self.act(input)
2025-08-14T22:20:32.3900075Z 
2025-08-14T22:20:32.3900192Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3900423Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3900493Z     return mod(*inputs)
2025-08-14T22:20:32.3900788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3900866Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3901172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3901259Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3901501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3901595Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3901877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3901968Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3901972Z 
2025-08-14T22:20:32.3902101Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3902307Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3902376Z     return mod(*inputs)
2025-08-14T22:20:32.3902666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3902742Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3903030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3903109Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3903343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3903434Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3903710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3903813Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3904095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3904214Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3904218Z 
2025-08-14T22:20:32.3904333Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3904560Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3904635Z     return mod(*inputs)
2025-08-14T22:20:32.3904918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3904996Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3905279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3905354Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3905586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3905681Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3905950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3906053Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3906354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3906543Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3906547Z 
2025-08-14T22:20:32.3906662Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3906909Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3906976Z     return mod(*inputs)
2025-08-14T22:20:32.3907264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3907340Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3907622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3907697Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3907931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3908024Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3908298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3908401Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3908676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3908850Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3908854Z 
2025-08-14T22:20:32.3908948Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3909032Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3909113Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3909202Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3909313Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3909527Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3909594Z     return mod(*inputs)
2025-08-14T22:20:32.3909875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3909963Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3910239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3910314Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3910559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3910642Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3910956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3911053Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3911334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3911444Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3911751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3911898Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3911902Z 
2025-08-14T22:20:32.3912011Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3912216Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3912291Z     return mod(*inputs)
2025-08-14T22:20:32.3912600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3912694Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3912973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3913049Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3913314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3913396Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3913671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3913769Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3914044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3914155Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3914457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3914572Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3914576Z 
2025-08-14T22:20:32.3914690Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3914895Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3914961Z     return mod(*inputs)
2025-08-14T22:20:32.3915245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3915321Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3915603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3915678Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3915915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3916008Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3916281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3916386Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3916659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3916743Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3916747Z 
2025-08-14T22:20:32.3916861Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3917063Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3917131Z     return mod(*inputs)
2025-08-14T22:20:32.3917445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3917525Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3917807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3917886Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3918121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3918215Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3918492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-14T22:20:32.3918587Z     hidden_states = residual + hidden_states
2025-08-14T22:20:32.3918591Z 
2025-08-14T22:20:32.3918701Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3918932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3919030Z     return mod(*inputs)
2025-08-14T22:20:32.3919308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3919385Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3919688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3919763Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3920002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3920085Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3920359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3920491Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3920496Z 
2025-08-14T22:20:32.3920605Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3920819Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3920886Z     return mod(*inputs)
2025-08-14T22:20:32.3921165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3921250Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3921524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3921599Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3921841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3921921Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3922205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3922329Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3922552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3922633Z     return self.act(input)
2025-08-14T22:20:32.3922637Z 
2025-08-14T22:20:32.3922744Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3922948Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3923024Z     return mod(*inputs)
2025-08-14T22:20:32.3923300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3923381Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3923693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3923773Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3924013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3924096Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3924378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3924463Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3924467Z 
2025-08-14T22:20:32.3924575Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3924787Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3924855Z     return mod(*inputs)
2025-08-14T22:20:32.3925131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3925248Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3925543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3925627Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3925862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3925967Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3926251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3926345Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3926635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3926754Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3926758Z 
2025-08-14T22:20:32.3926869Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3927082Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3927150Z     return mod(*inputs)
2025-08-14T22:20:32.3927428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3927513Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3927787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3927871Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3928104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3928187Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3928473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3928568Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3928853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3929024Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3929029Z 
2025-08-14T22:20:32.3929136Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3929346Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3929412Z     return mod(*inputs)
2025-08-14T22:20:32.3929693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3929777Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3930082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3930168Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3930493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3930586Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3930882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3930979Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3931278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3931457Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3931464Z 
2025-08-14T22:20:32.3931559Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3931651Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3931772Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3931884Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3932003Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3932215Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3932322Z     return mod(*inputs)
2025-08-14T22:20:32.3932611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3932690Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3932979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3933057Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3933298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3933397Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3933694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3933801Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3934098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3934207Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3934532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3934678Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3934682Z 
2025-08-14T22:20:32.3934801Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3935026Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3935101Z     return mod(*inputs)
2025-08-14T22:20:32.3935399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3935481Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3935775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3935867Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3936110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3936203Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3936500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3936598Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3936920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3937028Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3937351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3937474Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3937478Z 
2025-08-14T22:20:32.3937588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3937812Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3937882Z     return mod(*inputs)
2025-08-14T22:20:32.3938171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3938259Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3938575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3938681Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3938919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3939005Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3939317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3939415Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3939714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3939806Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3939809Z 
2025-08-14T22:20:32.3939922Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3940149Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3940220Z     return mod(*inputs)
2025-08-14T22:20:32.3940511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3940599Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3940892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3940982Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3941219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3941306Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3941614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3941743Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3941748Z 
2025-08-14T22:20:32.3941869Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3942085Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3942155Z     return mod(*inputs)
2025-08-14T22:20:32.3942449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3942530Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3942813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3942901Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3943142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3943237Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3943570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3943711Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3943939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3944013Z     return self.act(input)
2025-08-14T22:20:32.3944018Z 
2025-08-14T22:20:32.3944126Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3944336Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3944403Z     return mod(*inputs)
2025-08-14T22:20:32.3944688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3944764Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3945065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3945154Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3945411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3945500Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3945776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3945883Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3945888Z 
2025-08-14T22:20:32.3946004Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3946213Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3946281Z     return mod(*inputs)
2025-08-14T22:20:32.3946577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3946654Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3946943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3947019Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3947257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3947349Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3947632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3947736Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3948020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-14T22:20:32.3948137Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-14T22:20:32.3948141Z 
2025-08-14T22:20:32.3948258Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3948470Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3948538Z     return mod(*inputs)
2025-08-14T22:20:32.3948835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3948915Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3949208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3949284Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3949523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3949613Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3949900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3950038Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3950318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:20:32.3950488Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3950494Z 
2025-08-14T22:20:32.3950611Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3950815Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3950883Z     return mod(*inputs)
2025-08-14T22:20:32.3951169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3951245Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3951552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3951634Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3951885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3951977Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3952251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3952371Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3952648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-14T22:20:32.3952819Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:20:32.3952823Z 
2025-08-14T22:20:32.3952916Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3952999Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3953080Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3953170Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3953278Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3953488Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3953555Z     return mod(*inputs)
2025-08-14T22:20:32.3953837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3953920Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3954212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3954287Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3954525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3954607Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3954891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3954987Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3955259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3955370Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3955677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:20:32.3955824Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:20:32.3955828Z 
2025-08-14T22:20:32.3955935Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3956140Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3956218Z     return mod(*inputs)
2025-08-14T22:20:32.3956527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3956610Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3956902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3956980Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3957224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3957307Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3957586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3957688Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3958031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:20:32.3958158Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:20:32.3958465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:20:32.3958582Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:20:32.3958606Z 
2025-08-14T22:20:32.3958724Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3958929Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3958998Z     return mod(*inputs)
2025-08-14T22:20:32.3959283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3959361Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3959646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3959722Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3959954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3960047Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3960322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:20:32.3960427Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:20:32.3960704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-14T22:20:32.3960791Z     attn_output = self.out_proj(attn_output)
2025-08-14T22:20:32.3960794Z 
2025-08-14T22:20:32.3960909Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3961113Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3961183Z     return mod(*inputs)
2025-08-14T22:20:32.3961472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3961547Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3961826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3961903Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3962284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3962383Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3962660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-14T22:20:32.3962746Z     hidden_states = residual + hidden_states
2025-08-14T22:20:32.3962759Z 
2025-08-14T22:20:32.3962951Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3963159Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3963239Z     return mod(*inputs)
2025-08-14T22:20:32.3963520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3963599Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3963882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3963957Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3964198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3964280Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3964596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3964732Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3964765Z 
2025-08-14T22:20:32.3964874Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3965086Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3965183Z     return mod(*inputs)
2025-08-14T22:20:32.3965465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3965550Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3965832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3965907Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3966150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3966235Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3966521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:20:32.3966644Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:20:32.3966870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:20:32.3966953Z     return self.act(input)
2025-08-14T22:20:32.3966957Z 
2025-08-14T22:20:32.3967065Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3967271Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3967347Z     return mod(*inputs)
2025-08-14T22:20:32.3967628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:20:32.3967712Z     encoder_outputs = self.encoder(
2025-08-14T22:20:32.3967996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:20:32.3968074Z     layer_outputs = encoder_layer(
2025-08-14T22:20:32.3968317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:32.3968401Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:32.3968688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-14T22:20:32.3968773Z     hidden_states = self.fc2(hidden_states)
2025-08-14T22:20:32.3968777Z 
2025-08-14T22:20:32.3968885Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3969098Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3969166Z     return mod(*inputs)
2025-08-14T22:20:32.3969474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1612, in forward
2025-08-14T22:20:32.3969583Z     hidden_states = self.projector(hidden_states)
2025-08-14T22:20:32.3969587Z 
2025-08-14T22:20:32.3969673Z cudagraph partition due to non gpu ops
2025-08-14T22:20:32.3969786Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3969994Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3970065Z     return mod(*inputs)
2025-08-14T22:20:32.3970411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1613, in forward
2025-08-14T22:20:32.3970512Z     pooled_output = hidden_states.mean(dim=1)
2025-08-14T22:20:32.3970517Z 
2025-08-14T22:20:32.3970632Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:32.3970844Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:20:32.3970974Z     return mod(*inputs)
2025-08-14T22:20:32.3971268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1615, in forward
2025-08-14T22:20:32.3971380Z     logits = self.classifier(pooled_output)
2025-08-14T22:20:32.3971384Z 
2025-08-14T22:20:54.0158743Z Compilation time (from dynamo_timed): 44.283914988
2025-08-14T22:20:54.0159564Z pass
2025-08-14T22:20:54.0161733Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:20:54.0167351Z TIMING: _recursive_pre_grad_passes:0.01313 _recursive_joint_graph_passes:0.95098 _recursive_post_grad_passes:0.22343 async_compile.wait:0.81544 code_gen:13.2569 inductor_compile:18.66816 backend_compile:36.21262 gc:0.00288 entire_frame_compile:44.28391 total_wall_time:44.28391
2025-08-14T22:20:54.0168691Z STATS: call_* op count: 781 | FakeTensorMode.__torch_dispatch__:24862 | attempt fast:59 | fast is_contiguous:55 | slow no contiguity match:4 | FakeTensor.__torch_dispatch__:9275 | ProxyTorchDispatchMode.__torch_dispatch__:9152
2025-08-14T22:20:54.0169402Z Dynamo produced 1 graphs covering 781 ops with 0 graph breaks (0 unique)
2025-08-14T22:21:00.4397245Z 
2025-08-14T22:21:00.6311181Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:21:00.6311509Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:21:00.6311775Z cpu  eval  lennard_jones                      
2025-08-14T22:21:00.6322177Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:21:00.6342584Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:21:00.6354715Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:21:03.0678908Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:21:03.0682583Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:21:03.0684833Z     return mod(*inputs)
2025-08-14T22:21:03.0685085Z 
2025-08-14T22:21:03.0685351Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:21:03.0685771Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:21:03.0686286Z     return mod(*inputs)
2025-08-14T22:21:03.0686682Z 
2025-08-14T22:21:03.0686822Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:21:03.0687259Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:21:03.0687631Z     return mod(*inputs)
2025-08-14T22:21:03.0687743Z 
2025-08-14T22:21:03.0687855Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:21:03.0688297Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:21:03.0688662Z     return mod(*inputs)
2025-08-14T22:21:03.0688781Z 
2025-08-14T22:21:03.0688895Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:21:03.0689635Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:21:03.0690014Z     return mod(*inputs)
2025-08-14T22:21:03.0690137Z 
2025-08-14T22:21:03.0690644Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:21:03.0691077Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:21:03.0691445Z     return mod(*inputs)
2025-08-14T22:21:03.0691552Z 
2025-08-14T22:21:03.0691768Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:21:03.0692183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:21:03.0692541Z     return mod(*inputs)
2025-08-14T22:21:03.0692648Z 
2025-08-14T22:21:03.0692760Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:21:03.0693161Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:21:03.0693606Z     return mod(*inputs)
2025-08-14T22:21:03.0693726Z 
2025-08-14T22:21:03.0693847Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:21:03.0694309Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:21:03.0694680Z     return mod(*inputs)
2025-08-14T22:21:03.0694788Z 
2025-08-14T22:21:09.9822324Z Compilation time (from dynamo_timed): 8.322948483
2025-08-14T22:21:09.9822652Z pass
2025-08-14T22:21:09.9826068Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:21:09.9826947Z TIMING: _recursive_pre_grad_passes:0.00355 _recursive_joint_graph_passes:0.35573 _recursive_post_grad_passes:0.02157 async_compile.wait:0.70966 code_gen:6.80865 inductor_compile:6.9103 backend_compile:8.04766 gc:0.00061 entire_frame_compile:8.32295 total_wall_time:8.32295
2025-08-14T22:21:09.9828051Z STATS: call_* op count: 9 | FakeTensor.__torch_dispatch__:102 | FakeTensorMode.__torch_dispatch__:778 | attempt fast:8 | fast is_contiguous:8 | ProxyTorchDispatchMode.__torch_dispatch__:176
2025-08-14T22:21:09.9828672Z Dynamo produced 1 graphs covering 9 ops with 0 graph breaks (0 unique)
2025-08-14T22:21:11.4025656Z accuracy            pass_rate=91.43%
2025-08-14T22:21:11.4033795Z calls_captured      gmean=0.00x mean=320.429x
2025-08-14T22:21:11.4034780Z unique_graphs       gmean=0.00x mean=2.400x
2025-08-14T22:21:11.4037179Z graph_breaks        gmean=0.00x mean=1.686x
2025-08-14T22:21:11.4037898Z unique_graph_breaks gmean=0.00x mean=0.429x
2025-08-14T22:21:11.4041618Z autograd_captures   gmean=0.00x mean=0.000x
2025-08-14T22:21:11.4041888Z autograd_compiles   gmean=0.00x mean=0.000x
2025-08-14T22:21:11.4046189Z cudagraph_skips     gmean=0.00x mean=2.086x
2025-08-14T22:21:11.4046438Z compilation_latency mean=29.043 seconds
2025-08-14T22:21:12.3287650Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/dynamic_cpu_inductor_torchbench_inference.csv
2025-08-14T22:21:12.6356580Z BERT_pytorch                        PASS
2025-08-14T22:21:12.6361700Z Background_Matting                  XFAIL
2025-08-14T22:21:12.6366214Z LearningToPaint                     PASS
2025-08-14T22:21:12.6367093Z Super_SloMo                         PASS
2025-08-14T22:21:12.6367411Z alexnet                             PASS
2025-08-14T22:21:12.6367647Z basic_gnn_edgecnn                   PASS
2025-08-14T22:21:12.6367877Z basic_gnn_gcn                       PASS
2025-08-14T22:21:12.6368092Z basic_gnn_gin                       PASS
2025-08-14T22:21:12.6368761Z basic_gnn_sage                      PASS
2025-08-14T22:21:12.6371861Z dcgan                               PASS
2025-08-14T22:21:12.6379751Z demucs                              PASS
2025-08-14T22:21:12.6380352Z densenet121                         PASS
2025-08-14T22:21:12.6380666Z dlrm                                PASS
2025-08-14T22:21:12.6386643Z doctr_det_predictor                 PASS
2025-08-14T22:21:12.6387625Z doctr_reco_predictor                PASS
2025-08-14T22:21:12.6394033Z drq                                 PASS
2025-08-14T22:21:12.6395526Z fastNLP_Bert                        PASS
2025-08-14T22:21:12.6398862Z functorch_dp_cifar10                PASS
2025-08-14T22:21:12.6403422Z functorch_maml_omniglot             PASS
2025-08-14T22:21:12.6406515Z hf_Albert                           PASS
2025-08-14T22:21:12.6410589Z hf_Bart                             PASS
2025-08-14T22:21:12.6411220Z hf_Bert                             PASS
2025-08-14T22:21:12.6417145Z hf_Bert_large                       PASS
2025-08-14T22:21:12.6418576Z hf_BigBird                          PASS
2025-08-14T22:21:12.6421569Z hf_DistilBert                       PASS
2025-08-14T22:21:12.6427370Z hf_GPT2                             PASS
2025-08-14T22:21:12.6429965Z hf_GPT2_large                       XFAIL
2025-08-14T22:21:12.6433395Z hf_Longformer                       PASS
2025-08-14T22:21:12.6436401Z hf_Reformer                         PASS
2025-08-14T22:21:12.6438592Z hf_Roberta_base                     PASS
2025-08-14T22:21:12.6442366Z hf_T5                               PASS
2025-08-14T22:21:12.6447340Z hf_T5_base                          PASS
2025-08-14T22:21:12.6449353Z hf_T5_large                         XFAIL
2025-08-14T22:21:12.6455262Z hf_distil_whisper                   PASS
2025-08-14T22:21:12.6455929Z lennard_jones                       PASS
2025-08-14T22:21:12.7098873Z + python benchmarks/dynamo/check_graph_breaks.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/dynamic_cpu_inductor_torchbench_inference.csv
2025-08-14T22:21:13.0413427Z BERT_pytorch                        PASS
2025-08-14T22:21:13.0413968Z Background_Matting                  PASS
2025-08-14T22:21:13.0418774Z LearningToPaint                     PASS
2025-08-14T22:21:13.0422637Z Super_SloMo                         PASS
2025-08-14T22:21:13.0422931Z alexnet                             PASS
2025-08-14T22:21:13.0431076Z basic_gnn_edgecnn                   PASS
2025-08-14T22:21:13.0431440Z basic_gnn_gcn                       PASS
2025-08-14T22:21:13.0438112Z basic_gnn_gin                       PASS
2025-08-14T22:21:13.0440415Z basic_gnn_sage                      PASS
2025-08-14T22:21:13.0442391Z dcgan                               PASS
2025-08-14T22:21:13.0442648Z demucs                              PASS
2025-08-14T22:21:13.0447793Z densenet121                         PASS
2025-08-14T22:21:13.0448078Z dlrm                                PASS
2025-08-14T22:21:13.0451773Z doctr_det_predictor                 PASS
2025-08-14T22:21:13.0457340Z doctr_reco_predictor                PASS
2025-08-14T22:21:13.0458091Z drq                                 PASS
2025-08-14T22:21:13.0464438Z fastNLP_Bert                        PASS
2025-08-14T22:21:13.0471944Z functorch_dp_cifar10                PASS
2025-08-14T22:21:13.0473020Z functorch_maml_omniglot             PASS
2025-08-14T22:21:13.0477066Z hf_Albert                           PASS
2025-08-14T22:21:13.0477361Z hf_Bart                             PASS
2025-08-14T22:21:13.0482893Z hf_Bert                             PASS
2025-08-14T22:21:13.0484562Z hf_Bert_large                       PASS
2025-08-14T22:21:13.0487783Z hf_BigBird                          PASS
2025-08-14T22:21:13.0490693Z hf_DistilBert                       PASS
2025-08-14T22:21:13.0495330Z hf_GPT2                             PASS
2025-08-14T22:21:13.0499222Z hf_GPT2_large                       PASS
2025-08-14T22:21:13.0501277Z hf_Longformer                       PASS
2025-08-14T22:21:13.0504719Z hf_Reformer                         PASS
2025-08-14T22:21:13.0508821Z hf_Roberta_base                     PASS
2025-08-14T22:21:13.0510841Z hf_T5                               PASS
2025-08-14T22:21:13.0512493Z hf_T5_base                          PASS
2025-08-14T22:21:13.0515986Z hf_T5_large                         PASS
2025-08-14T22:21:13.0519344Z hf_distil_whisper                   PASS
2025-08-14T22:21:13.0523706Z lennard_jones                       PASS
2025-08-14T22:21:13.1133981Z + sccache_epilogue
2025-08-14T22:21:13.1134326Z + echo '::group::Sccache Compilation Log'
2025-08-14T22:21:13.1135054Z ##[group]Sccache Compilation Log
2025-08-14T22:21:13.1135338Z + echo '=================== sccache compilation log ==================='
2025-08-14T22:21:13.1135686Z =================== sccache compilation log ===================
2025-08-14T22:21:13.1136113Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-08-14T22:21:13.1390843Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-08-14T22:21:13.1392026Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-08-14T22:21:13.1392414Z + sccache --show-stats
2025-08-14T22:21:13.1429483Z Compile requests                    540
2025-08-14T22:21:13.1433599Z Compile requests executed             0
2025-08-14T22:21:13.1436576Z Cache hits                            0
2025-08-14T22:21:13.1436929Z Cache misses                          0
2025-08-14T22:21:13.1437169Z Cache hits rate                       -
2025-08-14T22:21:13.1437388Z Cache timeouts                        0
2025-08-14T22:21:13.1437604Z Cache read errors                     0
2025-08-14T22:21:13.1437886Z Forced recaches                       0
2025-08-14T22:21:13.1438095Z Cache write errors                    0
2025-08-14T22:21:13.1438307Z Cache errors                          0
2025-08-14T22:21:13.1438526Z Compilations                          0
2025-08-14T22:21:13.1438746Z Compilation failures                  0
2025-08-14T22:21:13.1438984Z Non-cacheable compilations            0
2025-08-14T22:21:13.1439217Z Non-cacheable calls                  32
2025-08-14T22:21:13.1439441Z Non-compilation calls               508
2025-08-14T22:21:13.1439674Z Unsupported compiler calls            0
2025-08-14T22:21:13.1439914Z Average cache write               0.000 s
2025-08-14T22:21:13.1440154Z Average compiler                  0.000 s
2025-08-14T22:21:13.1440381Z Average cache read hit            0.000 s
2025-08-14T22:21:13.1440612Z Failed distributed compilations       0
2025-08-14T22:21:13.1440769Z 
2025-08-14T22:21:13.1440857Z Non-cacheable reasons:
2025-08-14T22:21:13.1441057Z -E                                   32
2025-08-14T22:21:13.1441213Z 
2025-08-14T22:21:13.1441396Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-14T22:21:13.1441725Z Version (client)                0.10.0
2025-08-14T22:21:13.1441958Z + sccache --stop-server
2025-08-14T22:21:13.1450652Z Stopping sccache server...
2025-08-14T22:21:13.1455543Z Compile requests                    540
2025-08-14T22:21:13.1455819Z Compile requests executed             0
2025-08-14T22:21:13.1456058Z Cache hits                            0
2025-08-14T22:21:13.1456283Z Cache misses                          0
2025-08-14T22:21:13.1456508Z Cache hits rate                       -
2025-08-14T22:21:13.1456730Z Cache timeouts                        0
2025-08-14T22:21:13.1456934Z Cache read errors                     0
2025-08-14T22:21:13.1457179Z Forced recaches                       0
2025-08-14T22:21:13.1457395Z Cache write errors                    0
2025-08-14T22:21:13.1457650Z Cache errors                          0
2025-08-14T22:21:13.1457875Z Compilations                          0
2025-08-14T22:21:13.1458103Z Compilation failures                  0
2025-08-14T22:21:13.1458318Z Non-cacheable compilations            0
2025-08-14T22:21:13.1458541Z Non-cacheable calls                  32
2025-08-14T22:21:13.1458764Z Non-compilation calls               508
2025-08-14T22:21:13.1458987Z Unsupported compiler calls            0
2025-08-14T22:21:13.1459217Z Average cache write               0.000 s
2025-08-14T22:21:13.1459446Z Average compiler                  0.000 s
2025-08-14T22:21:13.1459678Z Average cache read hit            0.000 s
2025-08-14T22:21:13.1459995Z Failed distributed compilations       0
2025-08-14T22:21:13.1460159Z 
2025-08-14T22:21:13.1460238Z Non-cacheable reasons:
2025-08-14T22:21:13.1460437Z -E                                   32
2025-08-14T22:21:13.1460573Z 
2025-08-14T22:21:13.1460738Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-14T22:21:13.1461050Z Version (client)                0.10.0
2025-08-14T22:21:13.1461331Z + echo ::endgroup::
2025-08-14T22:21:13.1461778Z ##[endgroup]
2025-08-14T22:21:13.1461955Z + cleanup_workspace
2025-08-14T22:21:13.1462608Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-08-14T22:21:13.1463163Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-08-14T22:21:13.1463577Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-08-14T22:21:13.1463893Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-08-14T22:21:13.1464323Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-08-14T22:21:13.1464765Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-08-14T22:21:13.1465098Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-08-14T22:21:13.5997405Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-08-14T22:21:13.5997871Z with:
2025-08-14T22:21:13.5998107Z   benchmark-results-dir: test/test-reports
2025-08-14T22:21:13.5998376Z   dry-run: false
2025-08-14T22:21:13.5998577Z   schema-version: v3
2025-08-14T22:21:13.5999060Z   github-token: ***
2025-08-14T22:21:13.5999261Z env:
2025-08-14T22:21:13.5999449Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:13.5999831Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:13.6000224Z ##[endgroup]
2025-08-14T22:21:13.6026206Z ##[group]Run set -eux
2025-08-14T22:21:13.6026437Z set -eux
2025-08-14T22:21:13.6026713Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-14T22:21:13.6027026Z 
2025-08-14T22:21:13.6027195Z DEVICE_NAME=""
2025-08-14T22:21:13.6027385Z DEVICE_TYPE=""
2025-08-14T22:21:13.6027563Z 
2025-08-14T22:21:13.6027774Z if command -v nvidia-smi; then
2025-08-14T22:21:13.6028103Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-08-14T22:21:13.6028485Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-08-14T22:21:13.6028841Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-08-14T22:21:13.6029145Z   python3 -mpip install torch==2.7.1
2025-08-14T22:21:13.6029392Z elif command -v rocminfo; then
2025-08-14T22:21:13.6029683Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-08-14T22:21:13.6030053Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-08-14T22:21:13.6030421Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-08-14T22:21:13.6030744Z   # GPU device name coming from rocminfo instead
2025-08-14T22:21:13.6030996Z   DEVICE_NAME=rocm
2025-08-14T22:21:13.6031333Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-08-14T22:21:13.6031669Z fi
2025-08-14T22:21:13.6031821Z 
2025-08-14T22:21:13.6032023Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-08-14T22:21:13.6032305Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-08-14T22:21:13.6041895Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:21:13.6042158Z env:
2025-08-14T22:21:13.6042336Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:13.6042653Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:13.6042988Z ##[endgroup]
2025-08-14T22:21:13.6075215Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-14T22:21:13.8106715Z Defaulting to user installation because normal site-packages is not writeable
2025-08-14T22:21:14.6435581Z Collecting boto3==1.35.33
2025-08-14T22:21:14.6596570Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-08-14T22:21:14.9029537Z Collecting psutil==7.0.0
2025-08-14T22:21:14.9062342Z   Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB)
2025-08-14T22:21:14.9331229Z Collecting pynvml==12.0.0
2025-08-14T22:21:14.9396533Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-08-14T22:21:15.8133262Z Collecting botocore<1.36.0,>=1.35.33
2025-08-14T22:21:15.8165362Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-08-14T22:21:15.9481324Z Collecting s3transfer<0.11.0,>=0.10.0
2025-08-14T22:21:15.9563352Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-08-14T22:21:15.9609428Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0)
2025-08-14T22:21:15.9957867Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-08-14T22:21:15.9998039Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-08-14T22:21:16.0091984Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10)
2025-08-14T22:21:16.0092916Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1)
2025-08-14T22:21:16.1203040Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0)
2025-08-14T22:21:16.2488316Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-08-14T22:21:16.6259781Z   Attempting uninstall: nvidia-ml-py
2025-08-14T22:21:16.6260219Z     Found existing installation: nvidia-ml-py 11.525.84
2025-08-14T22:21:16.6275645Z     Uninstalling nvidia-ml-py-11.525.84:
2025-08-14T22:21:16.6417673Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-08-14T22:21:16.6992437Z   Attempting uninstall: psutil
2025-08-14T22:21:16.6992809Z     Found existing installation: psutil 5.9.8
2025-08-14T22:21:16.7043315Z     Uninstalling psutil-5.9.8:
2025-08-14T22:21:16.7048275Z       Successfully uninstalled psutil-5.9.8
2025-08-14T22:21:16.8517451Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4
2025-08-14T22:21:16.9957090Z + DEVICE_NAME=
2025-08-14T22:21:16.9957398Z + DEVICE_TYPE=
2025-08-14T22:21:16.9957629Z + command -v nvidia-smi
2025-08-14T22:21:16.9957827Z + command -v rocminfo
2025-08-14T22:21:16.9958023Z + echo DEVICE_NAME=
2025-08-14T22:21:16.9958238Z + echo DEVICE_TYPE=
2025-08-14T22:21:16.9985843Z ##[group]Run set -eux
2025-08-14T22:21:16.9986061Z set -eux
2025-08-14T22:21:16.9986234Z 
2025-08-14T22:21:16.9986429Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-08-14T22:21:16.9986681Z   echo "Missing github-token input"
2025-08-14T22:21:16.9986905Z   exit 1
2025-08-14T22:21:16.9987071Z fi
2025-08-14T22:21:16.9992336Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:21:16.9992644Z env:
2025-08-14T22:21:16.9992807Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:16.9993131Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:16.9993462Z   DEVICE_NAME: 
2025-08-14T22:21:16.9993631Z   DEVICE_TYPE: 
2025-08-14T22:21:16.9994031Z   GITHUB_TOKEN: ***
2025-08-14T22:21:16.9994208Z ##[endgroup]
2025-08-14T22:21:17.0019175Z + [[ -z *** ]]
2025-08-14T22:21:17.0059168Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-08-14T22:21:17.0059534Z with:
2025-08-14T22:21:17.0059902Z   github-token: ***
2025-08-14T22:21:17.0060096Z env:
2025-08-14T22:21:17.0060292Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:17.0060705Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:17.0061092Z   DEVICE_NAME: 
2025-08-14T22:21:17.0061293Z   DEVICE_TYPE: 
2025-08-14T22:21:17.0061507Z ##[endgroup]
2025-08-14T22:21:17.0103336Z ##[group]Run set -eux
2025-08-14T22:21:17.0103564Z set -eux
2025-08-14T22:21:17.0103740Z 
2025-08-14T22:21:17.0104095Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-14T22:21:17.0109193Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:21:17.0109459Z env:
2025-08-14T22:21:17.0109639Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:17.0109968Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:17.0110300Z   DEVICE_NAME: 
2025-08-14T22:21:17.0110469Z   DEVICE_TYPE: 
2025-08-14T22:21:17.0110803Z   GITHUB_TOKEN: ***
2025-08-14T22:21:17.0110975Z ##[endgroup]
2025-08-14T22:21:17.0141122Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16976255153 i-09e31cdd6d16df249
2025-08-14T22:21:18.1990095Z setting job-id=48128039112
2025-08-14T22:21:18.1990717Z setting job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-14T22:21:18.2108435Z ##[group]Run set -eux
2025-08-14T22:21:18.2108659Z set -eux
2025-08-14T22:21:18.2108827Z 
2025-08-14T22:21:18.2109103Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-08-14T22:21:18.2109441Z   --schema-version "${SCHEMA_VERSION}" \
2025-08-14T22:21:18.2109682Z   --repo "${REPO}" \
2025-08-14T22:21:18.2109901Z   --head-branch "${HEAD_BRANCH}" \
2025-08-14T22:21:18.2110123Z   --head-sha "${HEAD_SHA}" \
2025-08-14T22:21:18.2110357Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-08-14T22:21:18.2110614Z   --run-attempt "${RUN_ATTEMPT}" \
2025-08-14T22:21:18.2110837Z   --job-id "${JOB_ID}" \
2025-08-14T22:21:18.2111044Z   --job-name "${JOB_NAME}"
2025-08-14T22:21:18.2115843Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:21:18.2116111Z env:
2025-08-14T22:21:18.2116278Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:18.2116598Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:18.2116929Z   DEVICE_NAME: 
2025-08-14T22:21:18.2117087Z   DEVICE_TYPE: 
2025-08-14T22:21:18.2117254Z   SCHEMA_VERSION: v3
2025-08-14T22:21:18.2117441Z   REPO: pytorch/pytorch
2025-08-14T22:21:18.2117628Z   HEAD_BRANCH: refs/heads/main
2025-08-14T22:21:18.2117856Z   HEAD_SHA: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:21:18.2118091Z   WORKFLOW_RUN_ID: 16976255153
2025-08-14T22:21:18.2118278Z   RUN_ATTEMPT: 1
2025-08-14T22:21:18.2118441Z   JOB_ID: 48128039112
2025-08-14T22:21:18.2118803Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-14T22:21:18.2119181Z ##[endgroup]
2025-08-14T22:21:18.2150919Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 1fc683cf17c8c673044538d10266c00f92987be2 --workflow-id 16976255153 --run-attempt 1 --job-id 48128039112 --job-name 'linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)'
2025-08-14T22:21:18.2458185Z ##[group]Run set -eux
2025-08-14T22:21:18.2458400Z set -eux
2025-08-14T22:21:18.2458566Z 
2025-08-14T22:21:18.2458833Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-08-14T22:21:18.2464100Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:21:18.2464379Z env:
2025-08-14T22:21:18.2464551Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:18.2464867Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:18.2465215Z   DEVICE_NAME: 
2025-08-14T22:21:18.2465387Z   DEVICE_TYPE: 
2025-08-14T22:21:18.2465555Z ##[endgroup]
2025-08-14T22:21:18.2490491Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-08-14T22:21:18.2838322Z INFO:root:Fail to import torch to get the device name
2025-08-14T22:21:18.2950246Z ##[group]Run set -eux
2025-08-14T22:21:18.2950472Z set -eux
2025-08-14T22:21:18.2950642Z 
2025-08-14T22:21:18.2950829Z # TODO (huydhn): Implement this part
2025-08-14T22:21:18.2951109Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-08-14T22:21:18.2955975Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:21:18.2956230Z env:
2025-08-14T22:21:18.2956510Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:18.2956842Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:18.2957353Z   DEVICE_NAME: 
2025-08-14T22:21:18.2957530Z   DEVICE_TYPE: 
2025-08-14T22:21:18.2957767Z ##[endgroup]
2025-08-14T22:21:18.2981602Z + echo 'dependencies={}'
2025-08-14T22:21:18.3013714Z ##[group]Run set -eux
2025-08-14T22:21:18.3013941Z set -eux
2025-08-14T22:21:18.3014109Z 
2025-08-14T22:21:18.3014312Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-08-14T22:21:18.3014613Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-08-14T22:21:18.3014928Z   # We don't want the job to fail if the directory doesn't exist
2025-08-14T22:21:18.3015191Z   exit 0
2025-08-14T22:21:18.3015355Z fi
2025-08-14T22:21:18.3015502Z 
2025-08-14T22:21:18.3015680Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-08-14T22:21:18.3016012Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-14T22:21:18.3016379Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-14T22:21:18.3016669Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-14T22:21:18.3016916Z     --runners "${RUNNER_INFO}" \
2025-08-14T22:21:18.3017155Z     --dependencies "${DEPENDENCIES}" \
2025-08-14T22:21:18.3017377Z     --dry-run
2025-08-14T22:21:18.3017558Z else
2025-08-14T22:21:18.3017815Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-14T22:21:18.3018157Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-14T22:21:18.3018435Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-14T22:21:18.3018669Z     --runners "${RUNNER_INFO}" \
2025-08-14T22:21:18.3018902Z     --dependencies "${DEPENDENCIES}"
2025-08-14T22:21:18.3019110Z fi
2025-08-14T22:21:18.3023602Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:21:18.3023857Z env:
2025-08-14T22:21:18.3024019Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:18.3024348Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:18.3024683Z   DEVICE_NAME: 
2025-08-14T22:21:18.3024843Z   DEVICE_TYPE: 
2025-08-14T22:21:18.3025030Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-08-14T22:21:18.3025247Z   DRY_RUN: false
2025-08-14T22:21:18.3026112Z   BENCHMARK_METADATA: {"timestamp": 1755210078, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976255153, "run_attempt": 1, "job_id": 48128039112}
2025-08-14T22:21:18.3027195Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-75-132.ec2.internal"}, "name": "", "type": ""}]
2025-08-14T22:21:18.3027589Z   DEPENDENCIES: {}
2025-08-14T22:21:18.3027764Z ##[endgroup]
2025-08-14T22:21:18.3051325Z + [[ ! -d test/test-reports ]]
2025-08-14T22:21:18.3051612Z + [[ false == \t\r\u\e ]]
2025-08-14T22:21:18.3053936Z + 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": 1755210078, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976255153, "run_attempt": 1, "job_id": 48128039112}' --runners '[{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-75-132.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-08-14T22:21:18.4322416Z INFO:root:Upload test/test-reports/inference_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039112/inference_torchbench.json
2025-08-14T22:21:18.4635502Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role
2025-08-14T22:21:18.6928495Z ##[group]Run cat test/**/*_toprint.log || true
2025-08-14T22:21:18.6928797Z cat test/**/*_toprint.log || true
2025-08-14T22:21:18.6934001Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:21:18.6934272Z env:
2025-08-14T22:21:18.6934450Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:18.6934772Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:18.6935113Z   DEVICE_NAME: 
2025-08-14T22:21:18.6935286Z   DEVICE_TYPE: 
2025-08-14T22:21:18.6935457Z ##[endgroup]
2025-08-14T22:21:18.7016099Z cat: 'test/**/*_toprint.log': No such file or directory
2025-08-14T22:21:18.7045922Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-08-14T22:21:18.7046217Z kill "$MONITOR_SCRIPT_PID"
2025-08-14T22:21:18.7051315Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:21:18.7051596Z env:
2025-08-14T22:21:18.7051771Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:18.7052112Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:18.7052472Z   DEVICE_NAME: 
2025-08-14T22:21:18.7052646Z   DEVICE_TYPE: 
2025-08-14T22:21:18.7052831Z   MONITOR_SCRIPT_PID: 48117
2025-08-14T22:21:18.7053030Z ##[endgroup]
2025-08-14T22:21:18.7161177Z Prepare all required actions
2025-08-14T22:21:18.7161824Z Getting action download info
2025-08-14T22:21:18.8480976Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-14T22:21:19.0667050Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-08-14T22:21:19.4552057Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-08-14T22:21:19.4552345Z with:
2025-08-14T22:21:19.4552637Z   file-suffix: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039112
2025-08-14T22:21:19.4553001Z   s3-bucket: gha-artifacts
2025-08-14T22:21:19.4553194Z env:
2025-08-14T22:21:19.4553358Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:19.4553687Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:19.4554039Z   DEVICE_NAME: 
2025-08-14T22:21:19.4554204Z   DEVICE_TYPE: 
2025-08-14T22:21:19.4554376Z ##[endgroup]
2025-08-14T22:21:19.4581415Z ##[group]Run # Remove any previous test jsons if they exist
2025-08-14T22:21:19.4581771Z # Remove any previous test jsons if they exist
2025-08-14T22:21:19.4582038Z rm -f test-jsons-*.zip
2025-08-14T22:21:19.4582346Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-08-14T22:21:19.4587435Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:21:19.4587696Z env:
2025-08-14T22:21:19.4587869Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:19.4588206Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:19.4588544Z   DEVICE_NAME: 
2025-08-14T22:21:19.4588723Z   DEVICE_TYPE: 
2025-08-14T22:21:19.4589032Z   FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039112
2025-08-14T22:21:19.4589354Z ##[endgroup]
2025-08-14T22:21:19.4786115Z   adding: test/test-reports/inference_torchbench.json (deflated 99%)
2025-08-14T22:21:19.4815821Z ##[group]Run # Remove any previous test reports if they exist
2025-08-14T22:21:19.4816160Z # Remove any previous test reports if they exist
2025-08-14T22:21:19.4816421Z rm -f test-reports-*.zip
2025-08-14T22:21:19.4816726Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-08-14T22:21:19.4821593Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:21:19.4821836Z env:
2025-08-14T22:21:19.4822090Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:19.4822389Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:19.4822704Z   DEVICE_NAME: 
2025-08-14T22:21:19.4822867Z   DEVICE_TYPE: 
2025-08-14T22:21:19.4823215Z   FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039112
2025-08-14T22:21:19.4823529Z ##[endgroup]
2025-08-14T22:21:19.4869797Z   adding: test/test-reports/inference_torchbench.csv (deflated 59%)
2025-08-14T22:21:19.4878452Z   adding: test/test-reports/inference_torchbench_graph_breaks.csv (deflated 94%)
2025-08-14T22:21:19.4883057Z   adding: test/test-reports/inference_torchbench_graph_break_deduped.csv (deflated 80%)
2025-08-14T22:21:19.4908221Z ##[group]Run # Remove any previous usage logs if they exist
2025-08-14T22:21:19.4908542Z # Remove any previous usage logs if they exist
2025-08-14T22:21:19.4908790Z rm -f logs-*.zip
2025-08-14T22:21:19.4909017Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-08-14T22:21:19.4909351Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-08-14T22:21:19.4914096Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:21:19.4914351Z env:
2025-08-14T22:21:19.4914506Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:19.4914816Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:19.4915139Z   DEVICE_NAME: 
2025-08-14T22:21:19.4915300Z   DEVICE_TYPE: 
2025-08-14T22:21:19.4915723Z   FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039112
2025-08-14T22:21:19.4916032Z ##[endgroup]
2025-08-14T22:21:19.5036612Z   adding: usage_log.txt (deflated 97%)
2025-08-14T22:21:19.5052615Z 
2025-08-14T22:21:19.5053679Z zip error: Nothing to do! (logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039112.zip)
2025-08-14T22:21:19.5079985Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-08-14T22:21:19.5080378Z # Remove any previous debugging artifacts if they exist
2025-08-14T22:21:19.5080662Z rm -f debug-*.zip
2025-08-14T22:21:19.5080868Z if [ -d 'test/debug' ]; then
2025-08-14T22:21:19.5081121Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-08-14T22:21:19.5081367Z fi
2025-08-14T22:21:19.5086160Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:21:19.5086408Z env:
2025-08-14T22:21:19.5086576Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:19.5086915Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:19.5087243Z   DEVICE_NAME: 
2025-08-14T22:21:19.5087413Z   DEVICE_TYPE: 
2025-08-14T22:21:19.5087704Z   FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039112
2025-08-14T22:21:19.5088013Z ##[endgroup]
2025-08-14T22:21:19.5187303Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-14T22:21:19.5187567Z with:
2025-08-14T22:21:19.5187762Z   s3-bucket: gha-artifacts
2025-08-14T22:21:19.5188006Z   s3-prefix: pytorch/pytorch/16976255153/1/artifact

2025-08-14T22:21:19.5188246Z   retention-days: 14
2025-08-14T22:21:19.5188439Z   if-no-files-found: warn
2025-08-14T22:21:19.5188643Z   path: test-jsons-*.zip
2025-08-14T22:21:19.5188838Z   name: artifact
2025-08-14T22:21:19.5189019Z   region: us-east-1
2025-08-14T22:21:19.5189193Z env:
2025-08-14T22:21:19.5189350Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:19.5189693Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:19.5190036Z   DEVICE_NAME: 
2025-08-14T22:21:19.5190213Z   DEVICE_TYPE: 
2025-08-14T22:21:19.5190374Z ##[endgroup]
2025-08-14T22:21:19.8085678Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-14T22:21:19.8086048Z With the provided path, there will be 1 file uploaded
2025-08-14T22:21:19.8086370Z Uploading to s3 prefix: pytorch/pytorch/16976255153/1/artifact
2025-08-14T22:21:19.8117572Z Starting upload of test-jsons-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039112.zip
2025-08-14T22:21:19.9985351Z Finished upload of test-jsons-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039112.zip
2025-08-14T22:21:20.0158133Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-14T22:21:20.0158473Z with:
2025-08-14T22:21:20.0158654Z   s3-bucket: gha-artifacts
2025-08-14T22:21:20.0158888Z   s3-prefix: pytorch/pytorch/16976255153/1/artifact

2025-08-14T22:21:20.0159120Z   retention-days: 14
2025-08-14T22:21:20.0159307Z   if-no-files-found: error
2025-08-14T22:21:20.0159525Z   path: test-reports-*.zip
2025-08-14T22:21:20.0159708Z   name: artifact
2025-08-14T22:21:20.0159876Z   region: us-east-1
2025-08-14T22:21:20.0160042Z env:
2025-08-14T22:21:20.0160194Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:20.0160514Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:20.0160853Z   DEVICE_NAME: 
2025-08-14T22:21:20.0161019Z   DEVICE_TYPE: 
2025-08-14T22:21:20.0161184Z ##[endgroup]
2025-08-14T22:21:20.2987981Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-14T22:21:20.2988487Z With the provided path, there will be 1 file uploaded
2025-08-14T22:21:20.2988895Z Uploading to s3 prefix: pytorch/pytorch/16976255153/1/artifact
2025-08-14T22:21:20.3021776Z Starting upload of test-reports-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039112.zip
2025-08-14T22:21:20.4402121Z Finished upload of test-reports-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039112.zip
2025-08-14T22:21:20.4559472Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-14T22:21:20.4559744Z with:
2025-08-14T22:21:20.4559926Z   s3-bucket: gha-artifacts
2025-08-14T22:21:20.4560166Z   s3-prefix: pytorch/pytorch/16976255153/1/artifact

2025-08-14T22:21:20.4560403Z   retention-days: 14
2025-08-14T22:21:20.4560590Z   if-no-files-found: ignore
2025-08-14T22:21:20.4560799Z   path: logs-*.zip
2025-08-14T22:21:20.4560970Z   name: artifact
2025-08-14T22:21:20.4561153Z   region: us-east-1
2025-08-14T22:21:20.4561329Z env:
2025-08-14T22:21:20.4561491Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:20.4561828Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:20.4562491Z   DEVICE_NAME: 
2025-08-14T22:21:20.4562667Z   DEVICE_TYPE: 
2025-08-14T22:21:20.4562835Z ##[endgroup]
2025-08-14T22:21:20.7416665Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-14T22:21:20.7421121Z With the provided path, there will be 1 file uploaded
2025-08-14T22:21:20.7426344Z Uploading to s3 prefix: pytorch/pytorch/16976255153/1/artifact
2025-08-14T22:21:20.7447510Z Starting upload of logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039112.zip
2025-08-14T22:21:20.8530127Z Finished upload of logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039112.zip
2025-08-14T22:21:20.8705834Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-14T22:21:20.8706089Z with:
2025-08-14T22:21:20.8706291Z   s3-bucket: gha-artifacts
2025-08-14T22:21:20.8706537Z   s3-prefix: pytorch/pytorch/16976255153/1/artifact

2025-08-14T22:21:20.8706781Z   retention-days: 14
2025-08-14T22:21:20.8706976Z   if-no-files-found: ignore
2025-08-14T22:21:20.8707181Z   path: debug-*.zip
2025-08-14T22:21:20.8707354Z   name: artifact
2025-08-14T22:21:20.8707532Z   region: us-east-1
2025-08-14T22:21:20.8707713Z env:
2025-08-14T22:21:20.8707868Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:20.8708190Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:20.8708534Z   DEVICE_NAME: 
2025-08-14T22:21:20.8708703Z   DEVICE_TYPE: 
2025-08-14T22:21:20.8708860Z ##[endgroup]
2025-08-14T22:21:21.1393711Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-08-14T22:21:21.1591060Z ##[group]Run # shellcheck disable=SC2156
2025-08-14T22:21:21.1591345Z # shellcheck disable=SC2156
2025-08-14T22:21:21.1591733Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-08-14T22:21:21.1597094Z shell: /usr/bin/bash -e {0}
2025-08-14T22:21:21.1597303Z env:
2025-08-14T22:21:21.1597473Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:21.1597789Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:21.1598204Z   DEVICE_NAME: 
2025-08-14T22:21:21.1598375Z   DEVICE_TYPE: 
2025-08-14T22:21:21.1598537Z ##[endgroup]
2025-08-14T22:21:21.3469219Z Prepare all required actions
2025-08-14T22:21:21.3469596Z Getting action download info
2025-08-14T22:21:21.4941246Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-08-14T22:21:21.4941500Z with:
2025-08-14T22:21:21.4941664Z   job_id: 48128039112
2025-08-14T22:21:21.4942012Z   job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-14T22:21:21.4942371Z   workflow_name: inductor
2025-08-14T22:21:21.4942567Z   workflow_run_id: 16976255153
2025-08-14T22:21:21.4942774Z   workflow_attempt: 1
2025-08-14T22:21:21.4942946Z env:
2025-08-14T22:21:21.4943102Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:21.4943400Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:21.4943716Z   DEVICE_NAME: 
2025-08-14T22:21:21.4943866Z   DEVICE_TYPE: 
2025-08-14T22:21:21.4944022Z ##[endgroup]
2025-08-14T22:21:21.4961873Z ##[group]Run echo "workflow_id: 16976255153"
2025-08-14T22:21:21.4962703Z echo "workflow_id: 16976255153"
2025-08-14T22:21:21.4962941Z echo "workflow_attempt: 1"
2025-08-14T22:21:21.4963160Z echo "workflow_Name: inductor"
2025-08-14T22:21:21.4963380Z echo "job_id: 48128039112"
2025-08-14T22:21:21.4963809Z echo "job_name:  linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)"
2025-08-14T22:21:21.4964229Z echo "artifact_prefix: "
2025-08-14T22:21:21.4964449Z python3 --version
2025-08-14T22:21:21.4969373Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:21:21.4969639Z env:
2025-08-14T22:21:21.4969810Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:21.4970152Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:21.4970654Z   DEVICE_NAME: 
2025-08-14T22:21:21.4970828Z   DEVICE_TYPE: 
2025-08-14T22:21:21.4971007Z ##[endgroup]
2025-08-14T22:21:21.4997616Z workflow_id: 16976255153
2025-08-14T22:21:21.4997944Z workflow_attempt: 1
2025-08-14T22:21:21.4998168Z workflow_Name: inductor
2025-08-14T22:21:21.4998349Z job_id: 48128039112
2025-08-14T22:21:21.4998751Z job_name:  linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-14T22:21:21.4999152Z artifact_prefix: 
2025-08-14T22:21:21.5008958Z Python 3.9.23
2025-08-14T22:21:21.5081895Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-14T22:21:21.5082125Z with:
2025-08-14T22:21:21.5082287Z   shell: bash
2025-08-14T22:21:21.5082471Z   timeout_minutes: 5
2025-08-14T22:21:21.5082641Z   max_attempts: 5
2025-08-14T22:21:21.5082819Z   retry_wait_seconds: 30
2025-08-14T22:21:21.5083186Z   command: set -eu
python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7

2025-08-14T22:21:21.5083566Z   polling_interval_seconds: 1
2025-08-14T22:21:21.5083758Z   warning_on_retry: true
2025-08-14T22:21:21.5083942Z   continue_on_error: false
2025-08-14T22:21:21.5084136Z env:
2025-08-14T22:21:21.5084285Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:21.5084592Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:21.5084913Z   DEVICE_NAME: 
2025-08-14T22:21:21.5085067Z   DEVICE_TYPE: 
2025-08-14T22:21:21.5085235Z ##[endgroup]
2025-08-14T22:21:21.7974589Z Defaulting to user installation because normal site-packages is not writeable
2025-08-14T22:21:21.8642298Z Collecting python-dateutil==2.8.2
2025-08-14T22:21:21.8786790Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-08-14T22:21:22.6517470Z Collecting boto3==1.35.42
2025-08-14T22:21:22.6557049Z   Downloading boto3-1.35.42-py3-none-any.whl (139 kB)
2025-08-14T22:21:23.0736335Z Collecting pandas==2.1.3
2025-08-14T22:21:23.0775756Z   Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)
2025-08-14T22:21:23.1778070Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7)
2025-08-14T22:21:23.1792335Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0)
2025-08-14T22:21:23.1831379Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99)
2025-08-14T22:21:23.1832064Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0)
2025-08-14T22:21:23.1834791Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4)
2025-08-14T22:21:23.8702735Z Collecting numpy<2,>=1.22.4
2025-08-14T22:21:23.8741658Z   Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
2025-08-14T22:21:24.0308197Z Collecting tzdata>=2022.1
2025-08-14T22:21:24.0345241Z   Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-08-14T22:21:24.0444116Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1)
2025-08-14T22:21:24.0470526Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (3.26.1)
2025-08-14T22:21:24.0475603Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (0.9.0)
2025-08-14T22:21:24.0518289Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10)
2025-08-14T22:21:24.0611506Z Requirement already satisfied: packaging>=17.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0)
2025-08-14T22:21:24.0697400Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0)
2025-08-14T22:21:24.0699363Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.14.1)
2025-08-14T22:21:24.1988616Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3
2025-08-14T22:21:28.5024354Z   Attempting uninstall: boto3
2025-08-14T22:21:28.5024696Z     Found existing installation: boto3 1.35.33
2025-08-14T22:21:28.5099793Z     Uninstalling boto3-1.35.33:
2025-08-14T22:21:28.5108677Z       Successfully uninstalled boto3-1.35.33
2025-08-14T22:21:28.5584933Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2
2025-08-14T22:21:29.5844101Z Command completed after 1 attempt(s).
2025-08-14T22:21:29.5903230Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-14T22:21:29.5903729Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-14T22:21:29.5904082Z   --workflow-run-id "16976255153" \
2025-08-14T22:21:29.5904332Z   --workflow-name "inductor" \
2025-08-14T22:21:29.5904572Z   --workflow-run-attempt "1" \
2025-08-14T22:21:29.5904792Z   --job-id "48128039112" \
2025-08-14T22:21:29.5905222Z   --job-name "linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)" \
2025-08-14T22:21:29.5905651Z   --local-path "" \
2025-08-14T22:21:29.5905868Z   --artifact-prefix ""
2025-08-14T22:21:29.5911063Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:21:29.5911321Z env:
2025-08-14T22:21:29.5911494Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:29.5911812Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:29.5912202Z   DEVICE_NAME: 
2025-08-14T22:21:29.5912373Z   DEVICE_TYPE: 
2025-08-14T22:21:29.5912533Z ##[endgroup]
2025-08-14T22:21:30.7251609Z repo: pytorch/pytorch
2025-08-14T22:21:30.7252014Z Search for test log in s3 bucket: ossci-utilization
2025-08-14T22:21:30.7252460Z Downloading logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039112.zip
2025-08-14T22:21:30.7253002Z extracting usage_log.txt from zip file logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48128039112.zip
2025-08-14T22:21:30.7253419Z Converted Log Model: UtilizationMetadata:
2025-08-14T22:21:30.7254396Z  UtilizationMetadata(level='metadata', workflow_id='16976255153', job_id='48128039112', workflow_name='inductor', job_name='linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1755206925, gpu_count=0, cpu_count=32, gpu_type=None, error=None)
2025-08-14T22:21:30.7255401Z [Db Segments] detected pytest cmd: 11, generated segments: 11
2025-08-14T22:21:30.7255702Z [db model] Peek db timeseries 
2025-08-14T22:21:30.7255895Z :{
2025-08-14T22:21:30.7256063Z     "created_at": 1755210090,
2025-08-14T22:21:30.7256265Z     "type": "utilization",
2025-08-14T22:21:30.7256452Z     "tags": [
2025-08-14T22:21:30.7256616Z         "record"
2025-08-14T22:21:30.7256782Z     ],
2025-08-14T22:21:30.7256938Z     "time_stamp": 1755206925,
2025-08-14T22:21:30.7257146Z     "repo": "pytorch/pytorch",
2025-08-14T22:21:30.7257354Z     "workflow_id": 16976255153,
2025-08-14T22:21:30.7257551Z     "run_attempt": 1,
2025-08-14T22:21:30.7257733Z     "job_id": 48128039112,
2025-08-14T22:21:30.7257931Z     "workflow_name": "inductor",
2025-08-14T22:21:30.7258335Z     "job_name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)",
2025-08-14T22:21:30.7258720Z     "json_data": "{}"
2025-08-14T22:21:30.7258899Z }
2025-08-14T22:21:30.7259244Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976255153/1/48128039112/metadata
2025-08-14T22:21:30.7259816Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976255153/1/48128039112/metadata 
2025-08-14T22:21:30.7260460Z Writing 625 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976255153/1/48128039112/time_series
2025-08-14T22:21:30.7261076Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976255153/1/48128039112/time_series 
2025-08-14T22:21:30.8794217Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-08-14T22:21:30.8794574Z with:
2025-08-14T22:21:30.8794781Z env:
2025-08-14T22:21:30.8794978Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:30.8795369Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:30.8795776Z   DEVICE_NAME: 
2025-08-14T22:21:30.8795978Z   DEVICE_TYPE: 
2025-08-14T22:21:30.8796173Z ##[endgroup]
2025-08-14T22:21:30.8815483Z ##[group]Run set -eou pipefail
2025-08-14T22:21:30.8815779Z set -eou pipefail
2025-08-14T22:21:30.8816009Z 
2025-08-14T22:21:30.8816316Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-08-14T22:21:30.8816678Z for _ in $(seq 1440); do
2025-08-14T22:21:30.8817014Z     # Break if no ssh session exists anymore
2025-08-14T22:21:30.8817347Z     if [ "$(who)" = "" ]; then
2025-08-14T22:21:30.8817616Z       break
2025-08-14T22:21:30.8817837Z     fi
2025-08-14T22:21:30.8818010Z     echo "."
2025-08-14T22:21:30.8818194Z     sleep 5
2025-08-14T22:21:30.8818462Z done
2025-08-14T22:21:30.8823362Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:21:30.8823645Z env:
2025-08-14T22:21:30.8823815Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:30.8824146Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:30.8824554Z   DEVICE_NAME: 
2025-08-14T22:21:30.8824726Z   DEVICE_TYPE: 
2025-08-14T22:21:30.8824903Z ##[endgroup]
2025-08-14T22:21:30.8848146Z Holding runner for 2 hours until all ssh sessions have logged out
2025-08-14T22:21:30.8941785Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-14T22:21:30.8942408Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-14T22:21:30.8942710Z # shellcheck disable=SC2046
2025-08-14T22:21:30.8942987Z docker stop $(docker ps -q) || true
2025-08-14T22:21:30.8943229Z # Prune all of the docker images
2025-08-14T22:21:30.8943472Z docker system prune -af
2025-08-14T22:21:30.8948305Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:21:30.8948569Z env:
2025-08-14T22:21:30.8948744Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:21:30.8949067Z   DOCKER_CONTAINER_ID: fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:30.8949417Z   DEVICE_NAME: 
2025-08-14T22:21:30.8949589Z   DEVICE_TYPE: 
2025-08-14T22:21:30.8949762Z ##[endgroup]
2025-08-14T22:21:42.6135449Z fe3fa94464c2
2025-08-14T22:21:43.0083024Z Deleted Containers:
2025-08-14T22:21:43.0083590Z fe3fa94464c2d4bb645ca2d342a2f33c63b807cfaa3ae0b111042be45e051e10
2025-08-14T22:21:43.0083842Z 
2025-08-14T22:21:50.5160197Z Deleted Images:
2025-08-14T22:21:50.5160947Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:21:50.5161882Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:4236794baba289041d240d08fd393bbd57497c3012e5e0ccd9fd98f61ebf35c6
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2025-08-14T22:21:50.5196426Z 
2025-08-14T22:21:50.5196537Z Total reclaimed space: 53.04GB
2025-08-14T22:21:50.5301267Z Post job cleanup.
2025-08-14T22:21:50.5349767Z Post job cleanup.
2025-08-14T22:21:50.6231662Z [command]/usr/bin/git version
2025-08-14T22:21:50.6274087Z git version 2.47.1
2025-08-14T22:21:50.6313924Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/89da0a57-58d6-49ce-aaac-4485455114e2/.gitconfig'
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2025-08-14T22:21:51.7371025Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T22:21:51.7409015Z http.https://github.com/.extraheader
2025-08-14T22:21:51.7443300Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T22:21:51.7481527Z http.https://github.com/.extraheader
2025-08-14T22:21:51.7513210Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T22:21:51.7547306Z http.https://github.com/.extraheader
2025-08-14T22:21:51.7591260Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T22:21:51.7624510Z http.https://github.com/.extraheader
2025-08-14T22:21:51.7756445Z A job completed hook has been configured by the self-hosted runner administrator
2025-08-14T22:21:51.7780301Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-08-14T22:21:51.7783567Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:21:51.7783822Z ##[endgroup]
2025-08-14T22:21:51.7871182Z [!ALERT!] Swap in detected! [!ALERT!]
2025-08-14T22:22:01.3960253Z [!ALERT!] Swap out detected [!ALERT!]
2025-08-14T22:22:18.0629049Z Cleaning up orphan processes